Research areas

Statistics & Data Analytics

Staff

Publications

2023

Li, X., Yang, X., Ma, Z., Xue, J.-H. (2023) Deep metric learning for few-shot image classification: a review of recent developments Pattern Recognition, 138, (doi: 10.1016/j.patcog.2023.109381)

Rabbani, A., Gao, H., Lazarus, A., Dalton, D., Ge, Y., Mangion, K., Berry, C., Husmeier, D. (2023) Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications Computerized Medical Imaging and Graphics, 106, (doi: 10.1016/j.compmedimag.2023.102203)

Gilbert, C., Browell, J., Stephen, B. (2023) Probabilistic load forecasting for the low voltage network: forecast fusion and daily peaks Sustainable Energy, Grids and Networks, 34, (doi: 10.1016/j.segan.2023.100998)

Paradinas, I., Illian, J., Smout, S. (2023) Understanding spatial effects in species distribution models PLoS ONE, 18, (doi: 10.1371/journal.pone.0285463)

Glendell, M., Sinha, R., Choudhary, B., Singh, M., Ray, S. (2023) Probabilistic Modelling of Water Quality in the Ramganga River, India, Informed by Sparce Observational Data (doi: 10.5194/egusphere-egu23-7990)

Neethipathi, D. K., Beniwal, A., Ganguly, P., Bass, A., Scott, M., Dahiya, R. (2023) Electrochemical Detection of Fe2+ ions in Water using 2-Dimensional g-C3N4 modified Glassy Carbon Electrode-based Sensor (doi: 10.1109/APSCON56343.2023.10101086)

Pascall, D. J., Vink, E., Blacow, R., Bulteel, N., Campbell, A., Campbell, R., Clifford, S., Davis, C., da Silva Filipe, A., El Sakka, N., Fjodorova, L., Forrest, R., Goldstein, E., Gunson, R., Haughney, J., Holden, M. T.G., Honour, P., Hughes, J., James, E., Lewis, T., Lycett, S., MacLean, O., McHugh, M., Mollett, G., Onishi, Y., Parcell, B., Ray, S., Robertson, D. L., Shabaan, S., Shepherd, J. G., Smollett, K., Templeton, K., Wastnedge, E., Wilkie, C., Williams, T., Thomson, E. C. (2023) The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: a genomics-based retrospective cohort analysis PLoS ONE, 18, (doi: 10.1371/journal.pone.0284187)

McCartney, G., Hoggett, R., Walsh, D., Lee, D. (2023) How well do area-based deprivation indices identify income- and employment-deprived individuals across Great Britain today? Public Health, 217, pp. 22-25. (doi: 10.1016/j.puhe.2023.01.020)

Paun, I., Husmeier, D., Torney, C. J. (2023) Stochastic variational inference for scalable non-stationary Gaussian process regression Statistics and Computing, 33, (doi: 10.1007/s11222-023-10210-w)

Ho, A., Orton, R., Tayler, R., Asamaphan, P., Herder, V., Davis, C., Tong, L., Smollett, K., Manali, M., Allan, J., Rawlik, K., McDonald, S. E., Vink, E., Pollock, L., Gannon, L., Evans, C., McMenamin, J., Roy, K., Marsh, K., Divala, T., Holden, M. T.G., Lockhart, M., Yirrell, D., Currie, S., O'Leary, M., Henderson, D., Shepherd, S. J., Jackson, C., Gunson, R., MacLean, A., McInnes, N., Bradley-Stewart, A., Battle, R., Hollenbach, J., Henderson, P., Odam, M., Chikowore, P., Oosthuyzen, W., Chand, M., Shea Hamilton, M., Estrada-Rivadeneyra, D., Levin, M., Avramidis, N., Pairo-Castineira, E., Vitart, V., Wilkie, C., Palmarini, M., Ray, S., Robertson, D. L., da Silva Filipe, A., Willett, B. J., Breuer, J., Semple, M. G., Turner, D., Baillie, J. K., Thomson, E. C. (2023) Adeno-associated virus 2 infection in children with non-A-E hepatitis Nature, (doi: 10.1038/s41586-023-05948-2)

Villejo, S. J., Illian, J. B., Swallow, B. (2023) Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach Spatial Statistics, (doi: 10.1016/j.spasta.2023.100744)

Di Campli San Vito, P., Shakeri, G., Ross, J., Yang, X., Brewster, S. (2023) Development of a Real-Time Stress Detection System for Older Adults with Heart Rate Data

Nguyen, H. D., Gupta, M. (2023) Finite sample inference for empirical Bayesian methods Scandinavian Journal of Statistics, (doi: 10.1111/sjos.12643)

Harvey, W. T., Davies, V., Daniels, R. S., Whittaker, L., Gregory, V., Hay, A. J., Husmeier, D., McCauley, J. W., Reeve, R. (2023) A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses PLoS Computational Biology, 19, (doi: 10.1371/journal.pcbi.1010885)

Neethipathi, D. K., Beniwal, A., Bass, A., Scott, M., Dahiya, R. (2023) MoS2 modified screen printed carbon electrode based flexible electrochemical sensor for detection of copper ions in water IEEE Sensors Journal, (doi: 10.1109/JSEN.2023.3257188)

Wandy, J., Mcbride, R., Rogers, S., Terzis, N., Weidt, S., van der Hooft, J. J.J., Bryson, K., Daly, R., Davies, V. (2023) Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics Frontiers in Molecular Biosciences, 10, (doi: 10.3389/fmolb.2023.1130781)

Lee, D. (2023) Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data Annals of Applied Statistics,

Scott, E. M. (2023) Framing data science, analytics and statistics around the digital earth concept Environmetrics, 34, (doi: 10.1002/env.2732)

McEwan, M. P., Jack, E., Alexander, C., Bock, M. (2023) From statistics anxiety to SoTL: how a scholarly enquiry led to professional growth Open Scholarship of Teaching and Learning, 2, pp. 1-15. (doi: 10.56230/osotl.55)

Tragakis, A., Kaul, C., Murray-Smith, R., Husmeier, D. (2023) The Fully Convolutional Transformer for Medical Image Segmentation (doi: 10.1109/WACV56688.2023.00365)

Jones, K.A., Paterson, C.A., Ray, S., Motherwell, D.W., Hamilton, D.J., Small, A.D., Martin, W., Goodfield, N.E.R. (2023) Beta-blockers and mechanical dyssynchrony in heart failure assessed by radionuclide ventriculography Journal of Nuclear Cardiology, 30, pp. 193-200. (doi: 10.1007/s12350-022-03142-x)

Fang, Y., Niu, M., Cheung, P., Lin, L. (2023) Extrinsic Bayesian optimization on manifolds Algorithms, 16, (doi: 10.3390/a16020117)

Muegge, R., Dean, N., Jack, E., Lee, D. (2023) National lockdowns in England: the same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically? Spatial and Spatio-Temporal Epidemiology, 44, (doi: 10.1016/j.sste.2022.100559)

Dangerfield, C. E., Abrahams, I. D., Budd, C., Butchers, M., Cates, M. E., Champneys, A. R., Currie, C. S.M., Enright, J., Gog, J. R., Goriely, A., Hollingsworth, T. D., Hoyle, R. B., INI Professional Services, ., Isham, V., Jordan, J., Kaouri, M., Kavoussanakis, K., Leeks, J., Maini, P. K., Marr, C., Merritt, C., Mollison, D., Ray, S., Thompson, R. N., Wakefield, A., Wasley, D. (2023) Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK Journal of Theoretical Biology, 557, (doi: 10.1016/j.jtbi.2022.111332)

Chen, Y., Shi, Y., Dong, M., Yang, X., Li, D., Wang, Y., Dick, R., Lv, Q., Zhao, Y., Yang, F., Gu, N., Shang, L. (2023) Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition

Zhang, W., Chipperfield, J. D., Illian, J. B., Dupont, P., Milleret, C., de Valpine, P., Bischof, R. (2023) A flexible and efficient Bayesian implementation of point process models for spatial capture-recapture data Ecology, 104, (doi: 10.1002/ecy.3887)

Laxton, M. R., Rodríguez de Rivera, Ó., Soriano‐Redondo, A., Illian, J. B. (2023) Balancing structural complexity with ecological insight in spatio‐temporal species distribution models Methods in Ecology and Evolution, 14, pp. 162-172. (doi: 10.1111/2041-210x.13957)

Andrade, R., Cobbold, C. A. (2023) Heterogeneity in behaviour and movement can influence the stability of predator–prey periodic travelling waves Bulletin of Mathematical Biology, 85, (doi: 10.1007/s11538-022-01101-8)

Gaskell, J., Campioni, N., Morales, J. M., Husmeier, D., Torney, C. J. (2023) Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation Journal of the Royal Society: Interface, 20, (doi: 10.1098/rsif.2022.0676)

Stoner, O., Economou, T., Torres, R., Ashton, I., Brown, A. R. (2023) Quantifying spatio-temporal risk of harmful algal blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach Harmful Algae, 121, (doi: 10.1016/j.hal.2022.102363)

Borowska, A., King, R. (2023) Semi-complete data augmentation for efficient state space model fitting Journal of Computational and Graphical Statistics, 32, pp. 19-35. (doi: 10.1080/10618600.2022.2077350)

Stoner, O., Halliday, A., Economou, T. (2023) Correcting delayed reporting of COVID-19 using the generalized-Dirichlet-multinomial method Biometrics, (doi: 10.1111/biom.13810)

Jack, E., Mair, C. (2023) Investigating Readiness for Remote Learning in Three Cohorts of Students (doi: 10.52041/iase.icots11.T14C2)

Jack, E., Alexander, C., McArthur, D., Mair, C. (2023) Reflections on designing and delivering an online distance learning programme in the mathematical sciences MSOR Connections, 21, pp. 25-33. (doi: 10.21100/msor.v21i2.1397)

2022

Song, Q., Peng, Z., Ji, L., Yang, X., Li, X. (2022) Dual Prototypical Network for Robust Few-shot Image Classification (doi: 10.23919/APSIPAASC55919.2022.9979898)

Li, Z., Wang, L., Ding, S., Yang, X., Li, X. (2022) Few-Shot Classification With Feature Reconstruction Bias (doi: 10.23919/APSIPAASC55919.2022.9980086)

Robinson, J. I., Md Yusof, M. Y., Davies, V., Wild, D., Morgan, M., Taylor, J. C., El-Sherbiny, Y., Morris, D. L., Liu, L., Rawstron, A. C., Buch, M. H., Plant, D., Cordell, H. J., Isaacs, J. D., Bruce, I. N., Emery, P., Barton, A., Vyse, T. J., Barrett, J. H., Vital, E. M., Morgan, A. W. (2022) Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunity EBioMedicine, 86, (doi: 10.1016/j.ebiom.2022.104343)

Paun, I., Husmeier, D., Hopcraft, J. G. C., Masolele, M. M., Torney, C. J. (2022) Inferring spatially varying animal movement characteristics using a hierarchical continuous-time velocity model Ecology Letters, 25, pp. 2726-2738. (doi: 10.1111/ele.14117)

Zhang, W., Bonner, S. J., McCrea, R. (2022) Latent multinomial models for extended batch-mark data Biometrics, (doi: 10.1111/biom.13789)

Sullivan, M. K., Carrero, J.-J., Jani, B. D., Anderson, C., McConnachie, A., Hanlon, P., Nitsch, D., McAllister, D. A., Mair, F. S., Mark, P. B., Gasparini, A. (2022) The presence and impact of multimorbidity clusters on adverse outcomes across the spectrum of kidney function BMC Medicine, 20, (doi: 10.1186/s12916-022-02628-2)

Yang, Y., Gao, H., Berry, C., Carrick, D., Radjenovic, A., Husmeier, D. (2022) Classification of myocardial blood flow based on dynamic contrast-enhanced magnetic resonance imaging using hierarchical Bayesian models Journal of the Royal Statistical Society: Series C (Applied Statistics), 71, pp. 1085-1115. (doi: 10.1111/rssc.12568)

Dalton, D., Gao, H., Husmeier, D. (2022) Emulation of cardiac mechanics using Graph Neural Networks Computer Methods in Applied Mechanics and Engineering, 401, (doi: 10.1016/j.cma.2022.115645)

Harris, C., Brummitt, N., Cobbold, C. A., Reeve, R. (2022) Strong phylogenetic signals in global plant bioclimatic envelopes Global Ecology and Biogeography, 31, pp. 2191-2203. (doi: 10.1111/geb.13564)

Aldossari, S., Husmeier, D., Matthiopoulos, J. (2022) Transferable species distribution modelling: comparative performance of Generalised Functional Response models Ecological Informatics, 71, (doi: 10.1016/j.ecoinf.2022.101803)

Ray, S., Banerjee, A., Swift, A., Fanstone, J. W., Mamalakis, M., Vorselaars, B., Wilkie, C., Cole, J., Mackenzie, L. S., Weeks, S. (2022) A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest x-rays Scientific Reports, 12, (doi: 10.1038/s41598-022-21803-2)

Lavender, E., Aleynik, D., Dodd, J., Illian, J., James, M., Smout, S., Thorburn, J. (2022) Benthic animal-borne sensors and citizen science combine to validate ocean modelling Scientific Reports, 12, (doi: 10.1038/s41598-022-20254-z)

Browell, J., Gilbert, C., Fasiolo, M. (2022) Covariance structures for high-dimensional energy forecasting Electric Power Systems Research, 211, (doi: 10.1016/j.epsr.2022.108446)

Alghamdi, A., Birch, D. J.S., Vyshemirsky, V., Rolinski, O. J. (2022) Impact of the flavonoid quercetin on β-amyloid aggregation revealed by intrinsic fluorescence Journal of Physical Chemistry B, 126, pp. 7229-7237. (doi: 10.1021/acs.jpcb.2c02763)

Yang, X., Guo, Y., Dong, M., Xue, J.-H. (2022) Towards certified robustness of distance metric learning IEEE Transactions on Neural Networks and Learning Systems, (doi: 10.1109/TNNLS.2022.3199902)

Olsen, J. R., Nicholls, N., Caryl, F., Orjuela Mendoza, J., Panis, L. I., Dons, E., Laeremans, M., Standaert, A., Lee, D., Avila-Palencia, I., de Nazelle, A., Nieuwenhuijsen, M., Mitchell, R. (2022) Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: a cross-sectional study using GPS from 122 individuals in three European cities SSM - Population Health, 19, (doi: 10.1016/j.ssmph.2022.101172)

Alexander, C., Jack, E., McEwan, M., Bock, M. (2022) Exploring Statistics Anxiety in Several Introductory Statistics Courses to Understand Differences Between Types of Students and Types of Courses (doi: 10.52041/iase.icots11.T14D3)

Low, M., Alexander, C., Bock, M. (2022) Investigating Perceived Student Learning from Peer Review in Statistics Education (doi: 10.52041/iase.icots11.T14C1)

Castro-Camilo, D., Huser, R., Rue, H. (2022) Practical strategies for GEV-based regression models for extremes Environmetrics, 33, (doi: 10.1002/env.2742)

Lindgren, K., Bock, M., Alexander, C., Jack, E., Marshall, E. (2022) Statistics Students' Perspectives of Forced Online Learning (doi: 10.52041/iase.icots11.T14C3)

Elayouty, A., Scott, M., Miller, C. (2022) Time-varying functional principal components for non-stationary EpCO2 in freshwater systems Journal of Agricultural, Biological, and Environmental Statistics, 27, pp. 506-522. (doi: 10.1007/s13253-022-00494-2)

Lee, D., Anderson, C. (2022) Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data Biometrics, (doi: 10.1111/biom.13739)

Lu, Y., Wang, B., Zhao, Y., Yang, X., Li, L., Dong, M., Lv, Q., Zhou, F., Gu, N., Shang, L. (2022) Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning Energy, 253, (doi: 10.1016/j.energy.2022.124139)

Scott, E.M., Naysmith, P., Cook, G. (2022) What lies behind radiocarbon intercomparisons and the design of the new intercomparison, GIRI? Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 525, pp. 62-66. (doi: 10.1016/j.nimb.2022.06.015)

Huppmann, D., Browell, J., Nastasi, B., Vale, Z., Süsser, D. (2022) A research agenda for open energy science: Opportunities and perspectives of the F1000Research Energy Gateway F1000Research, 11, (doi: 10.12688/f1000research.124267.1)

Szili, B., Niu, M., Neocleous, T. (2022) A Structural Learning Method for Graphical Models (doi: 10.11159/icsta22.113)

Gong, M., O'Donnell, R., Miller, C., Scott, M., Simis, S., Groom, S., Tyler, A., Hunter, P., Spyrakos, E., Merchant, C., Maberly, S., Carvalho, L. (2022) Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data Spatial Statistics, 50, (doi: 10.1016/j.spasta.2022.100615)

Lazarus, A., Gao, H., Luo, X., Husmeier, D. (2022) Improving cardio-mechanic inference by combining in vivo strain data with ex vivo volume–pressure data Journal of the Royal Statistical Society: Series C (Applied Statistics), 71, pp. 906-931. (doi: 10.1111/rssc.12560)

Lee, D., Robertson, C., McRae, C., Baker, J. (2022) Quantifying the impact of air pollution on Covid-19 hospitalisation and death rates in Scotland Spatial and Spatio-Temporal Epidemiology, 42, (doi: 10.1016/j.sste.2022.100523)

Willett, B. J., Grove, J., MacLean, O. A., Wilkie, C., De Lorenzo, G., Furnon, W., Cantoni, D., Scott, S., Logan, N., Ashraf, S., Manali, M., Szemiel, A., Cowton, V., Vink, E., Harvey, W. T., Davis, C., Asamaphan, P., Smollett, K., Tong, L., Orton, R., Hughes, J., Holland, P., Silva, V., Pascall, D. J., Puxty, K., Da Silva Filipe, A., Yebra, G., Shaaban, S., Holden, M. T.G., Pinto, R. M., Gunson, R., Templeton, K., Murcia, P. R., Patel, A. H., Klenerman, P., Dunachie, S., PITCH Consortium, , The COVID-19 Genomics UK (COG-UK) Consortium, , Haughney, J., Robertson, D. L., Palmarini, M., Ray, S., Thomson, E. C. (2022) SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway Nature Microbiology, 7, pp. 1161-1179. (doi: 10.1038/s41564-022-01143-7)

Bryce, E., Lombardo, L., van Westen, C., Tanyas, H., Castro-Camilo, D. (2022) Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica Stochastic Environmental Research and Risk Assessment, 36, pp. 2071-2084. (doi: 10.1007/s00477-022-02239-6)

Husmeier, D., Dalton, D., Lazarus, A., Gao, H. (2022) Forward and Inverse Uncertainty Quantification in Cardiac Mechanics (doi: 10.11159/icsta22.161)

Yang, Y., Gao, H., Berry, C., Radjenovic, A., Husmeier, D. (2022) Myocardial Perfusion Classification Using A Markov Random Field Constrained Gaussian Mixture Model (doi: 10.11159/icsta22.146)

Paun, L. M., Schmidt, A. F., Mcginty, S., Husmeier, D. (2022) Statistical Inference for Optimisation of Drug Delivery from Stents (doi: 10.11159/icsta22.138)

Al Alawi, M., Ray, S., Gupta, M. (2022) A New Functional Data Clustering Technique Based on Spectral Clustering and Downsampling

Zhang, W., Ray, S. (2022) Kernel Smoothing-based Probability Contours for Tumour Segmentation

Boss, A. N., Banerjee, A., Mamalakis, M., Ray, S., Swift, A., Wilkie, C., Fanstone, J. W., Vorselaars, B., Cole, J., Weeks, S., Mackenzie, L. S. (2022) Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers International Journal of Molecular Sciences, 23, (doi: 10.3390/ijms23137260)

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Oliveira, F. L. C., Baets, S. D., Dokumentov, A., Ellison, J., Fiszeder, P., Franses, P. H., Frazier, D. T., Gilliland, M., Gönül, M. S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D. F., Hollyman, R., Januschowski, T., Jeon, J., Jose, V. R. R., Kang, Y., Koehler, A. B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G. M., Martinez, A. B., Meeran, S., Modis, T., Nikolopoulos, K., Önkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavía, J. M., Pedio, M., Pedregal, D. J., Pinson, P., Ramos, P., Rapach, D. E., Reade, J. J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H. L., Spiliotis, E., Syntetos, A. A., Talagala, P. D., Talagala, T. S., Tashman, L., Thomakos, D., Thorarinsdottir, T., Todini, E., Arenas, J. R. T., Wang, X., Winkler, R. L., Yusupova, A., Ziel, F. (2022) Forecasting: theory and practice International Journal of Forecasting, 38, pp. 705-871. (doi: 10.1016/j.ijforecast.2021.11.001)

Jones, W. R., Rock, L., Wesch, A., Marzusch, E., Low, M. (2022) GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): case studies, new features and future developments Ground Water Monitoring and Remediation, 42, pp. 14-22. (doi: 10.1111/gwmr.12522)

Zhang, W., Ray, S. (2022) Analysis of Positron Emission Tomography Data for Tumour Detection and Delineation

Neethipathi, D., Ganguly, P., Beniwal, A., Scott, M., Bass, A., Dahiya, R. (2022) MoS2 Modified Screen Printed Carbon Electrode Based Flexible Sensor for Detection of Copper (doi: 10.1109/FLEPS53764.2022.9781564)

Zhang, H., Swallow, B., Gupta, M. (2022) Bayesian hierarchical mixture models for detecting non-normal clusters applied to noisy genomic and environmental datasets Australian and New Zealand Journal of Statistics, 64, pp. 313-337. (doi: 10.1111/anzs.12370)

Lee, D., Robertson, C., Marques, D. (2022) Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity Spatial Statistics, 49, (doi: 10.1016/j.spasta.2021.100508)

Lazarus, A., Dalton, D., Husmeier, D., Gao, H. (2022) Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics Biomechanics and Modeling in Mechanobiology, 21, pp. 953-982. (doi: 10.1007/s10237-022-01571-8)

Yin, X., Napier, G., Anderson, C., Lee, D. (2022) Spatio-temporal disease risk estimation using clustering-based adjacency modelling Statistical Methods in Medical Research, 31, pp. 1184-1203. (doi: 10.1177/09622802221084131)

Chadwick, F. J., Clark, J., Chowdhury, S., Chowdhury, T., Pascall, D. J., Haddou, Y., Andrecka, J., Kundegorski, M., Wilkie, C., Brum, E., Shirin, T., Alamgir, A.S.M., Rahman, M., Alam, A. N., Khan, F., Swallow, B., Mair, F. S., Illian, J., Trottter, C. L., Hill, D. L., Husmeier, D., Matthiopoulos, J., Hampson, K., Sania, A. (2022) Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country Nature Communications, 13, (doi: 10.1038/s41467-022-30640-w)

Belmont Osuna, J., Miller, C., Scott, M., Wilkie, C. (2022) A new statistical approach for identifying rare species under imperfect detection Diversity and Distributions, 28, pp. 882-893. (doi: 10.1111/ddi.13495)

Borowska, A., Gao, H., Lazarus, A., Husmeier, D. (2022) Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle International Journal for Numerical Methods in Biomedical Engineering, 38, (doi: 10.1002/cnm.3593)

Browell, J., Gilbert, C. (2022) Predicting electricity imbalance prices and volumes: capabilities and opportunities Energies, 15, (doi: 10.3390/en15103645)

Lavender, E., Aleynik, D., Dodd, J., Illian, J., James, M., Wright, P. J., Smout, S., Thorburn, J. (2022) Behavioural responses of a large, benthic elasmobranch to catch-and-release angling Frontiers in Marine Science, 9, (doi: 10.3389/fmars.2022.864344)

Cobbold, C. A., Lutscher, F., Yurk, B. (2022) Bridging the scale gap: predicting large-scale population dynamics from small-scale variation in strongly heterogeneous landscapes Methods in Ecology and Evolution, 13, pp. 866-879. (doi: 10.1111/2041-210X.13799)

Jones, K.A., Small, A.D., Ray, S., Hamilton, D.J., Martin, W., Robinson, J., Goodfield, N.E.R., Paterson, C.A. (2022) Radionuclide ventriculography phase analysis for risk stratification of patients undergoing cardiotoxic cancer therapy Journal of Nuclear Cardiology, 29, pp. 581-589. (doi: 10.1007/s12350-020-02277-z)

Dawkins, L. C., Osborne, J. M., Economou, T., Darch, G. J.C., Stoner, O. R. (2022) The Advanced Meteorology Explorer: a novel stochastic, gridded daily rainfall generator Journal of Hydrology, 607, (doi: 10.1016/j.jhydrol.2022.127478)

Wandy, J., Davies, V., McBride, R., Weidt, S., Rogers, S., Daly, R. (2022) ViMMS 2.0: A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics Journal of Open Source Software, 7, (doi: 10.21105/joss.03990)

Gerogiannis, G., Tranmer, M., Lee, D., Valente, T. (2022) A Bayesian spatio-network model for multiple adolescent adverse health behaviours Journal of the Royal Statistical Society: Series C (Applied Statistics), 71, pp. 271-287. (doi: 10.1111/rssc.12531)

Niu, M., Frost, F., Milner, J. E., Skarin, A., Blackwell, P. G. (2022) Modelling group movement with behaviour switching in continuous time Biometrics, 78, pp. 286-299. (doi: 10.1111/biom.13412)

McLaughlin, K., Hobson, S. R., Ravi Chandran, A., Agarwal, S., Windrim, R. C., Parks, W. T., Bowman, A. W., Sovio, U., Smith, G. C., Kingdom, J. C. (2022) Circulating maternal placental growth factor responses to low molecular weight heparin in pregnant patients at risk of placental dysfunction American Journal of Obstetrics and Gynecology, 226, pp. S1145-S1156.e1. (doi: 10.1016/j.ajog.2021.08.027)

Paun, L. M., Husmeier, D. (2022) Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models Statistics and Computing, 32, (doi: 10.1007/s11222-021-10060-4)

Lavender, E., Aleynik, D., Dodd, J., Illian, J., James, M., Wright, P. J., Smout, S., Thorburn, J. (2022) Movement patterns of a critically endangered elasmobranch (Dipturus intermedius) in a Marine Protected Area Aquatic Conservation: Marine and Freshwater Ecosystems, 32, pp. 348-365. (doi: 10.1002/aqc.3753)

Guillot, G., Arab, A., Illian, J. B., Dray, S. (2022) Editorial: advances in statistical ecology: new methods and software Frontiers in Ecology and Evolution, 9, (doi: 10.3389/fevo.2021.828919)

Zaker, N., Cobbold, C. A., Lutscher, F. (2022) The effect of landscape fragmentation on Turing-pattern formation Mathematical Biosciences and Engineering, 19, pp. 2506-2537. (doi: 10.3934/mbe.2022116)

Python, A., Bender, A., Blangiardo, M., Illian, J. B., Lin, Y., Liu, B., Lucas, T. C.D., Tan, S., Wen, Y., Svanidze, D., Yin, J. (2022) A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales Journal of the Royal Statistical Society: Series A (Statistics in Society), 185, pp. 202-218. (doi: 10.1111/rssa.12738)

Williamson, L. D., Scott, B. E., Laxton, M. R., Bachl, F. E., Illian, J. B., Brookes, K. L., Thompson, P. M. (2022) Spatiotemporal variation in harbor porpoise distribution and foraging across a landscape of fear Marine Mammal Science, 38, pp. 42-57. (doi: 10.1111/mms.12839)

Graham, R. M., Browell, J., Bertram, D., White, C. J. (2022) The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting Meteorological Applications, 29, (doi: 10.1002/met.2047)

Farrokhabadi, M., Browell, J., Wang, Y., Makonin, S., Su, W., Zareipour, H. (2022) Day-ahead electricity demand forecasting competition: post-COVID paradigm IEEE Open Access Journal of Power and Energy, 9, pp. 185-191. (doi: 10.1109/OAJPE.2022.3161101)

Marshall, E. M., Mahmood, B., Alexander, C., Bock, M., Haigney, D., Jack, E., Verrier, D. (2022) The impact of remote teaching on statistics learning and anxiety MSOR Connections, 20, pp. 90-101. (doi: 10.21100/msor.v20i1.1312)

2021

Nightingale, G., Laxton, M., Illian, J. B. (2021) How does the community COVID-19 level of risk impact on that of a care home? PLoS ONE, 16, (doi: 10.1371/journal.pone.0260051)

Mamalakis, M., Swift, A. J., Vorselaars, B., Ray, S., Weeks, S., Ding, W., Clayton, R. H., Mackenzie, L. S., Banerjee, A. (2021) DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays Computerized Medical Imaging and Graphics, 94, (doi: 10.1016/j.compmedimag.2021.102008)

Gong, M., Miller, C., O'Donnell, R., Scott, M. (2021) State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality Stochastic Environmental Research and Risk Assessment, 35, pp. 2521-2536. (doi: 10.1007/s00477-021-02017-w)

Garg, N. K., Ray, S., Mathur, A. (2021) Abstract 10932: Prediction of 30-Day Hospital Readmission in High-Risk Atherosclerotic Cardiovascular Disease Patients Using Machine Learning Methods on Electronic Health Record Data from Medical Information Mart for Intensive Care-3 Database Circulation, 144, (doi: 10.1161/circ.144.suppl_1.10932)

Lombardo, L., Tanyas, H., Huser, R., Guzzetti, F., Castro-Camilo, D. (2021) Landslide size matters: a new data-driven, spatial prototype Engineering Geology, 293, (doi: 10.1016/j.enggeo.2021.106288)

Brass, D. P., Cobbold, C. A., Ewing, D. A., Purse, B. V., Callaghan, A., White, S. M. (2021) Phenotypic plasticity as a cause and consequence of population dynamics Ecology Letters, 24, pp. 2406-2417. (doi: 10.1111/ele.13862)

Browell, J., Fasiolo, M. (2021) Probabilistic forecasting of regional net-load with conditional extremes and gridded NWP IEEE Transactions on Smart Grid, 12, pp. 5011-5019. (doi: 10.1109/TSG.2021.3107159)

Campioni, N., Husmeier, D., Morales, J., Gaskell, J., Torney, C. J. (2021) Inferring microscale properties of interacting systems from macroscale observations Physical Review Research, 3, (doi: 10.1103/PhysRevResearch.3.043074)

Muir, R., Forbes, S., Birch, D. J.S., Vyshemirsky, V., Rolinski, O. J. (2021) Collagen glycation detected by its intrinsic fluorescence Journal of Physical Chemistry B, 125, pp. 11058-11066. (doi: 10.1021/acs.jpcb.1c05001)

Stoner, O., Lewis, J., Martínez, I. L., Gumy, S., Economou, T., Adair-Rohani, H. (2021) Household cooking fuel estimates at global and country level for 1990 to 2030 Nature Communications, 12, (doi: 10.1038/s41467-021-26036-x)

Telford, R., Stephen, B., Browell, J., Haben, S. (2021) Dirichlet sampled capacity and loss estimation for LV distribution networks with partial observability IEEE Transactions on Power Delivery, 36, pp. 2676-2686. (doi: 10.1109/TPWRD.2020.3025125)

Elliott, A., Law, S., Russell, C. (2021) Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball (doi: 10.1109/CVPR46437.2021.01055)

Medina-Lopez, E., McMillan, D., Lazic, J., Hart, E., Zen, S., Angeloudis, A., Bannon, E., Browell, J., Dorling, S., Dorrell, R.M., Forster, R., Old, C., Payne, G.S., Porter, G., Rabaneda, A.S., Sellar, B., Tapoglou, E., Trifonova, N., Woodhouse, I.H., Zampollo, A. (2021) Satellite data for the offshore renewable energy sector: synergies and innovation opportunities Remote Sensing of Environment, 264, (doi: 10.1016/j.rse.2021.112588)

Testa, B., Reid, J., Scott, M. E., Murison, P. J., Bell, A. (2021) The short form of the Glasgow Composite Measure Pain Scale in post-operative analgesia studies in dogs: a scoping review Frontiers in Veterinary Science, 8, (doi: 10.3389/fvets.2021.751949)

Scott, E. M., Davies, V., Nolan, A. M., Noble, C. E., Dowgray, N. J., German, A. J., Wiseman-Orr, M. L., Reid, J. (2021) Validity and responsiveness of the generic health-related quality of life instrument (VetMetrica™) in cats with osteoarthritis. Comparison of vet and owner impressions of quality of life impact Frontiers in Veterinary Science, 8, (doi: 10.3389/fvets.2021.733812)

Manjakkal, L., Mitra, S., Petillot, Y., Shutler, J., Scott, M., Willander, M., Dahiya, R. (2021) Connected sensors, innovative sensor deployment and intelligent data analysis for online water quality monitoring IEEE Internet of Things Journal, 8, pp. 13805-13824. (doi: 10.1109/JIOT.2021.3081772)

Vandeskog, S. M., Martino, S., Castro-Camilo, D. (2021) Modelling Block Maxima With the Blended Generalised Extreme Value Distribution

Shu, Q., Scott, M., Todman, L., McGrane, S. J. (2021) Development of a prototype composite index for resilience and security of water-energy-food (WEF) systems in industrialised nations Environmental and Sustainability Indicators, 11, (doi: 10.1016/j.indic.2021.100124)

Romaszko, L., Borowska, A., Lazarus, A., Dalton, D., Berry, C., Luo, X., Husmeier, D., Gao, H. (2021) Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics Artificial Intelligence In Medicine, 119, (doi: 10.1016/j.artmed.2021.102140)

Andersson, T. R., Hosking, J. S., Pérez-Ortiz, M., Paige, B., Elliott, A., Russell, C., Law, S., Jones, D. C., Wilkinson, J., Phillips, T., Byrne, J., Tietsche, S., Sarojini, B. B., Blanchard-Wrigglesworth, E., Aksenov, Y., Downie, R., Shuckburgh, E. (2021) Seasonal Arctic sea ice forecasting with probabilistic deep learning Nature Communications, 12, (doi: 10.1038/s41467-021-25257-4)

Dalton, D., Lazarus, A., Rabbani, A., Gao, H., Husmeier, D. (2021) Graph Neural Network Emulation of Cardiac Mechanics (doi: 10.11159/icsta21.127)

Paun, L. M., Borowska, A., Colebank, M. J., Olufsen, M. S., Husmeier, D. (2021) Inference in Cardiovascular Modelling Subject to Medical Interventions (doi: 10.11159/icsta21.109)

Wu, J., Gupta, M., Hussein, A. I., Gerstenfeld, L. (2021) Bayesian modeling of factorial time- course data with applications to a bone aging gene expression study Journal of Applied Statistics, 48, pp. 1730-1754. (doi: 10.1080/02664763.2020.1772733)

Aldossari, S., Husmeier, D., Matthiopoulos, J. (2021) Generalized functional responses in habitat selection fitted by decision trees and random forests Avestia Publishing

Lee, D., Meeks, K., Pettersson, W. (2021) Improved inference for areal unit count data using graph-based optimisation Statistics and Computing, 31, (doi: 10.1007/s11222-021-10025-7)

Katina, S., Vittert, L., Bowman, A. W. (2021) Functional data analysis and visualisation of three-dimensional surface shape Journal of the Royal Statistical Society: Series C (Applied Statistics), 70, pp. 691-713. (doi: 10.1111/rssc.12482)

Zhang, W., Price, S. J., Bonner, S. J. (2021) Maximum likelihood inference for the band-read error model for capture-recapture data with misidentification Environmental and Ecological Statistics, 28, pp. 405-422. (doi: 10.1007/s10651-021-00492-6)

Ewing, D. A., Purse, B. V., Cobbold, C. A., White, S. M. (2021) A novel approach for predicting risk of vector-borne disease establishment in marginal temperate environments under climate change: West Nile virus in the UK Journal of the Royal Society: Interface, 18, (doi: 10.1098/rsif.2021.0049)

Davies, V., Wandy, J., Weidt, S., van der Hooft, J. J.J., Miller, A., Daly, R., Rogers, S. (2021) Rapid development of improved data-dependent acquisition strategies Analytical Chemistry, 93, pp. 5676-5683. (doi: 10.1021/acs.analchem.0c03895)

Wilkie, C., Ray, S., Scott, M., Miller, C. (2021) Bayesian Spatiotemporal Statistical Modelling of Water Quality within Rivers (doi: 10.5194/egusphere-egu21-10843)

Livingston, M., Pannullo, F., Bowman, A. W., Scott, E. M., Bailey, N. (2021) Exploiting new forms of data to study the private rented sector: strengths and limitations of a database of rental listings Journal of the Royal Statistical Society: Series A (Statistics in Society), 184, pp. 663-682. (doi: 10.1111/rssa.12643)

Li, X., Yu, L., Yang, X., Ma, Z., Xue, J.-H., Cao, J., Guo, J. (2021) ReMarNet: conjoint relation and margin learning for small-sample image classification IEEE Transactions on Circuits and Systems for Video Technology, 31, pp. 1569-1579. (doi: 10.1109/TCSVT.2020.3005807)

Wilkie, C., Ray, S., Scott, M., Miller, C., Sinha, R., Bowes, M. (2021) Statistical Downscaling for the Fusion of In-river, Drone and Satellite Water Quality Data in a River Network

Borowska, A., Giurghita, D., Husmeier, D. (2021) Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Journal of Computational Physics, 429, (doi: 10.1016/j.jcp.2020.109999)

Hanlon, P., Chadwick, F., Shah, A., Wood, R., Minton, J., McCartney, G., Fischbacher, C., Mair, F. S., Husmeier, D., Matthiopoulos, J., McAllister, D. A. (2021) COVID-19 – exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study Wellcome Open Research, 5, (doi: 10.12688/wellcomeopenres.15849.3)

Castro-Camilo, D., Mhalla, L., Opitz, T. (2021) Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures Extremes, 24, pp. 105-128. (doi: 10.1007/s10687-020-00394-z)

Niu, M., Wandy, J., Daly, R., Rogers, S., Husmeier, D. (2021) R package for statistical inference in dynamical systems using kernel based gradient matching: KGode Computational Statistics, 36, pp. 715-747. (doi: 10.1007/s00180-020-01014-x)

Torney, C. J., Morales, J. M., Husmeier, D. (2021) A hierarchical machine learning framework for the analysis of large scale animal movement data Movement Ecology, 9, (doi: 10.1186/s40462-021-00242-0)

Rodger, S., Scott, E. M., Nolan, A., Wright, A. K., Reid, J. (2021) Effect of age, breed, and sex on the health-related quality of life of owner assessed healthy dogs Frontiers in Veterinary Science, 8, (doi: 10.3389/fvets.2021.603139)

Paun, L. M., Husmeier, D. (2021) Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid‐dynamics model of the pulmonary circulation International Journal for Numerical Methods in Biomedical Engineering, 37, (doi: 10.1002/cnm.3421)

Davies, V., Reid, J., Scott, E. M. (2021) Optimisation of scores generated by an online feline health–related quality of life (HRQL) instrument to assist the veterinary user interpret its results Frontiers in Veterinary Science, 7, (doi: 10.3389/fvets.2020.601304)

Milner, J. E., Blackwell, P. G., Niu, M. (2021) Modelling and inference for the movement of interacting animals Methods in Ecology and Evolution, 12, pp. 54-69. (doi: 10.1111/2041-210X.13468)

Gilbert, C., Browell, J., McMillan, D. (2021) Probabilistic access forecasting for improved offshore operations International Journal of Forecasting, 37, pp. 134-150. (doi: 10.1016/j.ijforecast.2020.03.007)

Bloomfield, H. C., Gonzalez, P. L. M., Lundquist, J. K., Stoop, L. P., Browell, J., Dargaville, R., De Felice, M., Gruber, K., Hilbers, A., Kies, A., Panteli, M., Thornton, H. E., Wohland, J., Zeyringer, M., Brayshaw, D. J. (2021) The importance of weather and climate to energy systems: a workshop on next generation challenges in energy–climate modeling Bulletin of the American Meteorological Society, 102, pp. E159-E167. (doi: 10.1175/BAMS-D-20-0256.1)

Mackenzie, L. S., Wilkie, C., Ray, S., Banerjee, A., Mamalakis, M., Swift, A. J., Vorselaars, B., Fanstone, J., Weeks, S. (2021) Can Kidney Function Be Used to Predict Survival of COVID-19 in Hospitals? Predictive Modelling in a Retrospective Cohort Study

Yang, X., Dong, M., Guo, Y., Xue, J.-H. (2021) Metric Learning for Categorical and Ambiguous Features: An Adversarial Approach (doi: 10.1007/978-3-030-67661-2_14)

Enright, J., Lee, D., Meeks, K., Pettersson, W., Sylvester, J. (2021) The complexity of finding optimal subgraphs to represent spatial correlation Springer

McElarney, Y., Rippey, B., Miller, C., Allen, M., Unwin, A. (2021) The long-term response of lake nutrient and chlorophyll concentrations to changes in nutrient loading in Ireland's largest lake, Lough Neagh Biology and Environment: Proceedings of the Royal Irish Academy, 121B, pp. 47-60. (doi: 10.3318/bioe.2021.04)

2020

Li, X., Yan, J., Wu, J., Liu, Y., Yang, X., Ma, Z. (2020) Anti-Noise Relation Network for Few-shot Learning

Nedd, M., Browell, J., Egea-Alvarez, A., Bell, K., Hamilton, R., Wang, S., Brush, S. (2020) Operating a Zero Carbon GB Power System in 2025: Frequency and Fault Current [Annexes - Review of System and Network Issues, Frequency Stability, Power Electronic Devices and Fault Current, & Market Needs] (doi: 10.17868/74793)

Stoner, O., Economou, T. (2020) An advanced hidden Markov model for hourly rainfall time series Computational Statistics and Data Analysis, 152, (doi: 10.1016/j.csda.2020.107045)

Paun, L. M., Colebank, M. J., Olufsen, M. S., Hill, N. A., Husmeier, D. (2020) Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation Journal of the Royal Society: Interface, 17, (doi: 10.1098/rsif.2020.0886)

Redivo, E., Nguyen, H., Gupta, M. (2020) Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions Computational Statistics and Data Analysis, 152, (doi: 10.1016/j.csda.2020.107040)

Tawn, R., Browell, J., Dinwoodie, I. (2020) Missing data in wind farm time series: properties and effect on forecasts Electric Power Systems Research, 189, (doi: 10.1016/j.epsr.2020.106640)

Nedd, M., Browell, J., Egea-Alvarez, A., Bell, K., Hamilton, R., Wang, S., Brush, S. (2020) Operating a Zero-Carbon GB Power System: Implications for Scotland (doi: 10.7488/era/756)

Lee, D., Robertson, C., Ramsay, C., Pyper, K. (2020) Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution Environmetrics, 31, (doi: 10.1002/env.2643)

Arnold, K. F., Davies, V., de Kamps, M., Tennant, P. W.G., Mbotwa, J., Gilthorpe, M. S. (2020) Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning International Journal of Epidemiology, 49, pp. 2074-2082. (doi: 10.1093/ije/dyaa049)

Morrow, A. J., Ford, T. J., Mangion, K., Kotecha, T., Rakhit, R., Galasko, G., Hoole, S., Davenport, A., Kharbanda, R., Ferreira, V. M., Shanmuganathan, M., Chiribiri, A., Perera, D., Rahman, H., Arnold, J. R., Greenwood, J. P., Fisher, M., Husmeier, D., Hill, N. A., Luo, X., Williams, N., Miller, L., Dempster, J., Macfarlane, P. W., Welsh, P., Sattar, N., Whittaker, A., McConnachie, A., Padmanabhan, S., Berry, C. (2020) Rationale and design of the Medical Research Council precision medicine with Zibotentan in microvascular angina (PRIZE) trial American Heart Journal, 229, pp. 70-80. (doi: 10.1016/j.ahj.2020.07.007)

Biosa, G., Giurghita, D., Alladio, E., Vincenti, M., Neocleous, T. (2020) Evaluation of forensic data using logistic regression-based classification methods and an R Shiny implementation Frontiers in Chemistry, 8, (doi: 10.3389/fchem.2020.00738)

Browell, J., Gilbert, C., Tawn, R., May, L. (2020) Quantile Combination for the EEM20 Wind Power Forecasting Competition (doi: 10.1109/EEM49802.2020.9221942)

Yang, X., Dong, M., Wang, Z., Gao, L., Zhang, L., Xue, J.-H. (2020) Data-augmented matched subspace detector for hyperspectral subpixel target detection Pattern Recognition, 106, (doi: 10.1016/j.patcog.2020.107464)

Mittell, E. A., Cobbold, C. A., Ijaz, U. Z., Kilbride, E. A., Moore, K. A., Mable, B. K. (2020) Feral populations of Brassica oleracea along Atlantic coasts in western Europe Ecology and Evolution, 10, pp. 11810-11825. (doi: 10.1002/ece3.6821)

Romano, E., Diana, A., Miller, C., O'Donnell, R. (2020) Optimally weighted L2 distances for spatially dependent functional data Spatial Statistics, 39, (doi: 10.1016/j.spasta.2020.100468)

Elliott, A., Chiu, A., Bazzi, M., Reinert, G., Cucuringu, M. (2020) Core–periphery structure in directed networks Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 476, (doi: 10.1098/rspa.2019.0783)

Davies, V., Scott, E. M., Wright, A. K., Reid, J. (2020) Development of an early warning system for owners using a validated health-related quality of life (HRQL) instrument for companion animals and its use in a large cohort of dogs Frontiers in Veterinary Science, 7, (doi: 10.3389/fvets.2020.575795)

Underwood, W. G., Elliott, A., Cucuringu, M. (2020) Motif-based spectral clustering of weighted directed networks Applied Network Science, 5, (doi: 10.1007/s41109-020-00293-z)

Browell, J., Gilbert, C. (2020) ProbCast: Open-source Production, Evaluation and Visualisation of Probabilistic Forecasts (doi: 10.1109/PMAPS47429.2020.9183441)

Stoner, O., Economou, T. (2020) Multivariate hierarchical frameworks for modeling delayed reporting in count data Biometrics, 76, pp. 789-798. (doi: 10.1111/biom.13188)

Zhang, W., Bonner, S. J. (2020) On continuous‐time capture‐recapture in closed populations Biometrics, 76, pp. 1028-1033. (doi: 10.1111/biom.13185)

Katina, S., Kelly, B. D., Rojas, M. A., Sukno, F. M., McDermott, A., Hennessy, R. J., Lane, A., Whelan, P. F., Bowman, A. W., Waddington, J. L. (2020) Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis Psychiatry Research, 291, (doi: 10.1016/j.psychres.2020.113243)

Banerjee, A., Ray, S., Vorselaars, B., Kitson, J., Mamalakis, M., Weeks, S., Baker, M., Mackenzie, L. S. (2020) Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population International Immunopharmacology, 86, (doi: 10.1016/j.intimp.2020.106705)

Gaskell, J., Campioni, N., Morales, J. M., Husmeier, D., Torney, C. J. (2020) Approximate Bayesian inference for individual-based models with emergent dynamics Avestia Publishing

Husmeier, D., Paun, L. M. (2020) Closed-loop effects in cardiovascular clinical decision support Avestia Publishing

Dalton, D., Lazarus, A., Husmeier, D. (2020) Comparative evaluation of different emulators for cardiac mechanics Avestia Publishing

Campioni, N., Husmeier, D., Morales, J. M., Gaskell, J., Torney, C. J. (2020) Modelling multiscale collective behavior with Gaussian processes Avestia Publishing

Lee, D. (2020) A tutorial on spatio-temporal disease risk modelling in R using Markov chain Monte Carlo simulation and the CARBayesST package Spatial and Spatio-Temporal Epidemiology, 34, (doi: 10.1016/j.sste.2020.100353)

Husmeier, D., Paun, L. M. (2020) Closed-loop effects in coupling cardiac physiological models to clinical interventions Servicio Editorial de la Universidad del País Vasco

Millar, K., Bowman, A. W. (2020) Cognitive archaeology: estimating the effects of blood-lead concentrations on the neuropsychological function of an officer of the 1845 Franklin expedition Journal of Archaeological Science: Reports, 32, (doi: 10.1016/j.jasrep.2020.102449)

Ray, S., Scott, M., Miller, C. (2020) Developing Statistical Downscaling to Improve Water Quality Understanding and Management in the Ramganga Sub-Basin

Wacker, L., Scott, E.M., Bayliss, A., Brown, D., Bard, E., Bollhalder, S., Freidrich, M., Capano, M., Cherkinsky, A., Chivall, D., Culleton, B.J., Dee, M.W., Friedrich, R., Hodgins, G.W.L., Hogg, A., Kennett, D.J., Knowles, T.D.J., Kuitems, M., Lange, T.E., Miyake, F., Nadeau, M.-J., Nakamura, T., Naysmith, J.P., Olsen, J., Omori, T., Petchey, F., Philippsen, B., Bronk Ramsey, C., Ravi Prasad, G.V., Seiler, N., Southon, J., Staff, R., Tuna, T. (2020) Findings from an in-depth annual tree-ring radiocarbon intercomparison Radiocarbon, 62, pp. 873-882. (doi: 10.1017/RDC.2020.49)

Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G., Adair-Rohani, H. (2020) Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking Journal of the Royal Statistical Society: Series C (Applied Statistics), 69, pp. 815-839. (doi: 10.1111/rssc.12428)

Dalton, D., Husmeier, D. (2020) Improved statistical emulation for a soft-tissue cardiac mechanical model Servicio Editorial de la Universidad del País Vasco

Borowska, A., Hoogerheide, L., Koopman, S. J., van Dijk, H. K. (2020) Partially censored posterior for robust and efficient risk evaluation Journal of Econometrics, 217, pp. 335-355. (doi: 10.1016/j.jeconom.2019.12.007)

van der Plicht, J., Bronk Ramsey, C., Heaton, T.J., Scott, E.M., Talamo, S. (2020) Recent developments in calibration for archaeological and environmental samples Radiocarbon, 62, pp. 1095-1117. (doi: 10.1017/RDC.2020.22)

Aldossari, S., Matthiopoulos, J., Husmeier, D. (2020) Statistical Modelling of Habitat Selection Servicio Editorial de la Universidad del País Vasco

Reimer, P. J., Austin, W. E.N., Baird, E., Bayliss, A., Blackwell, P. G., Bronk Ramsey, C., Butzin, M., Cheng, H., Edwards, R. L., Friedrich, M., Grootes, P. M., Guilderson, T. P., Hajdas, I., Heaton, T. J., Hogg, A. G., Hughen, K. A., Kromer, B., Manning, S. W., Muscheler, R., Palmer, J. G., Pearson, C., van der Plicht, J., Reimer, R. W., Richards, D. A., Scott, E. M., Southon, J. R., Turney, C. S.M., Wacker, L., Adolphi, F., Büntgen, U., Capano, M., Fahrni, S. M., Fogtmann-Schulz, A., Freidrich, R., Köhler, P., Kudsk, S., Miyake, F., Olsen, J., Reinig, F., Sakamoto, M., Sookdeo, A., Talamo, S. (2020) The IntCal20 Northern Hemisphere radiocarbon age calibration curve (0-55 kcal BP) Radiocarbon, 62, pp. 725-757. (doi: 10.1017/RDC.2020.41)

Heaton, T.J., Blaauw, M., Blackwell, P.G., Bronk Ramsey, C., Reimer, P.J., Scott, E.M. (2020) The IntCal20 approach to radiocarbon calibration curve construction: a new methodology using Bayesian splines and errors-in-variables Radiocarbon, 62, pp. 821-863. (doi: 10.1017/RDC.2020.46)

Wilkie, C., Belmont, J., Miller, C., Scott, M., August, T., Taylor, P. (2020) Hierarchical Species Distribution Modelling Across High Dimensional Nested Spatial Scales

Currie, M., Miller, C., Scott, M., Hills, A. (2020) Sensitivity Analysis Approaches to Investigate Uncertainty in Process-based Models, with Application to Aquaculture

Milligan, R.J., Scott, E.M., Jones, D.O.B., Bett, B.J., Jamieson, A.J., O'Brien, R., Pereira Costa, S., Rowe, G.T., Ruhl, H.A., Smith Jr., K.L., de Susanne, P., Vardaro, M.F., Bailey, D.M. (2020) Evidence for seasonal cycles in deep-sea fish abundances: A great migration in the deep SE Atlantic? Journal of Animal Ecology, 89, pp. 1593-1603. (doi: 10.1111/1365-2656.13215)

Gilbert, C., Browell, J., McMillan, D. (2020) Leveraging turbine-level data for improved probabilistic wind power forecasting IEEE Transactions on Sustainable Energy, 11, pp. 1152-1160. (doi: 10.1109/TSTE.2019.2920085)

Dong, M., Wang, Y., Yang, X., Xue, J.-H. (2020) Learning local metrics and influential regions for classification IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, pp. 1522-1529. (doi: 10.1109/TPAMI.2019.2914899)

Messner, J. W., Pinson, P., Browell, J., Bjerregård, M. B., Schicker, I. (2020) Evaluation of wind power forecasts – an up-to-date view Wind Energy, 23, pp. 1461-1481. (doi: 10.1002/we.2497)

McKnight, J.A., Ochs, A., Mair, C., McKnight, O., Wright, R., Gibb, F., Cunningham, S.G., Strachan, M., Ritchie, S., McGurnaghan, S.J., Colhoun, H.M. (2020) The effect of DAFNE education, continuous subcutaneous insulin infusion, or both in a population with type 1 diabetes in Scotland Diabetic Medicine, 37, pp. 1016-1022. (doi: 10.1111/dme.14223)

Li, W., Lazarus, A., Gao, H., Martinez De Azcona Naharro, A., Fontana, M., Hawkins, P., Biswas, S., Janiczek, R., Cox, J., Berry, C., Husmeier, D., Luo, X. (2020) Analysis of cardiac amyloidosis progression using model-based markers Frontiers in Physiology, 11, (doi: 10.3389/fphys.2020.00324)

Bock, M., Alexander, C., Jack, E., McEwan, M. (2020) Study Design & Quantitative Analysis in Learning and Teaching Scholarship: Case Study Exploring Student Attitudes to Introductory Statistics

Maberly, S. C., O'Donnell, R. A., Woolway, R. I., Cutler, M. E.J., Gong, M., Jones, I. D., Merchant, C. J., Miller, C. A., Politi, E., Scott, E. M., Thackeray, S. J., Tyler, A. N. (2020) Global lake thermal regions shift under climate change Nature Communications, 11, (doi: 10.1038/s41467-020-15108-z)

Hanlon, P., Quinn, T. J., Gallacher, K. I., Myint, P. K., Jani, B. D., Nicholl, B. I., Lowrie, R., Soiza, R. L., Neal, S. R., Lee, D., Mair, F. S. (2020) Assessing risks of polypharmacy involving medications with anticholinergic properties Annals of Family Medicine, 18, pp. 148-155. (doi: 10.1370/afm.2501)

Nedd, M., Browell, J., Bell, K., Booth, C. (2020) Containing a credible loss to within frequency stability limits in a low inertia GB power system IEEE Transactions on Industry Applications, 56, pp. 1031-1039. (doi: 10.1109/TIA.2019.2959996)

Nickbakhsh, S., Mair, C., Matthews, L., Reeve, R., Johnson, P.C.D., Thorburn, F., Von Wissmann, B., McMenamin, J., Gunson, R.N., Murcia, P.R. (2020) Reply to Kloepfer and Gern: Independent studies suggest an arms race between influenza and rhinovirus: what next? Proceedings of the National Academy of Sciences of the United States of America, 117, pp. 6988-6989. (doi: 10.1073/pnas.2000903117)

Sweeney, C., Bessa, R. J., Browell, J., Pinson, P. (2020) The future of forecasting for renewable energy WIREs Energy and Environment, 9, (doi: 10.1002/wene.365)

Cobbold, C. A., Stana, R. (2020) Should I stay or should I go: partially sedentary populations can outperform fully dispersing populations in response to climate-induced range shifts Bulletin of Mathematical Biology, 82, (doi: 10.1007/s11538-020-00700-7)

Subbiah, M., Caudell, M. A., Mair, C., Davis, M. A., Matthews, L., Quinlan, R. J., Quinlan, M. B., Lyimo, B., Buza, J., Keyyu, J., Call, D. R. (2020) Antimicrobial resistant enteric bacteria are widely distributed amongst people, animals and the environment in Tanzania Nature Communications, 11, (doi: 10.1038/s41467-019-13995-5)

Hanlon, P., McCallum, M., Jani, B. D., McQueenie, R., Lee, D., Mair, F. S. (2020) Association between childhood maltreatment and the prevalence and complexity of multimorbidity: a cross-sectional analysis of 157,357 UK Biobank participants Journal of Comorbidity, 10, pp. 1-12. (doi: 10.1177/2235042X10944344)

Dong, M., Yang, X., Zhu, R., Wang, Y., Xue, J.-H. (2020) Generalization Bound of Gradient Descent for Non-Convex Metric Learning

Castro-Camilo, D., Huser, R. (2020) Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes Journal of the American Statistical Association, 115, pp. 1037-1054. (doi: 10.1080/01621459.2019.1647842)

2019

Nickbakhsh, S., Mair, C., Matthews, L., Reeve, R., Johnson, P.C.D., Thorburn, F., Von Wissmann, B., Reynolds, A., McMenamin, J., Gunson, R.N., Murcia, P.R. (2019) Virus-virus interactions impact the population dynamics of influenza and the common cold Proceedings of the National Academy of Sciences of the United States of America, 116, pp. 27142-27150. (doi: 10.1073/pnas.1911083116)

Mair, C., Nickbakhsh, S., Reeve, R., McMenamin, J., Reynolds, A., Gunson, R. N., Murcia, P. R., Matthews, L. (2019) Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models PLoS Computational Biology, 15, (doi: 10.1371/journal.pcbi.1007492)

Rolinski, O. J., Alghamdi, A., Wellbrock, T., Birch, D. J.S., Vyshemirsky, V. (2019) Cu2+ effects on beta‐amyloid oligomerisation monitored by fluorescence of intrinsic tyrosine ChemPhysChem, 20, pp. 3181-3185. (doi: 10.1002/cphc.201900565)

Vittert, L., Bowman, A. W., Katina, S. (2019) A hierarchical curve-based approach to the analysis of manifold data Annals of Applied Statistics, 13, pp. 2539-2563. (doi: 10.1214/19-AOAS1267)

McGrane, S. J., Acuto, M., Artioli, F., Chen, P.-Y., Comber, R., Cottee, J., Farr-Wharton, G., Green, N., Helfgott, A., Larcom, S., McCann, J. A., O'Reilly, P., Salmoral, G., Scott, M., Todman, L. C., van Gevelt, T., Yan, X. (2019) Scaling the nexus: towards integrated frameworks for analysing water, energy and food Geographical Journal, 185, pp. 419-431. (doi: 10.1111/geoj.12256)

Buckley, J., Daly, R., Cobbold, C. A., Burgess, K., Mable, B. K. (2019) Changing environments and genetic variation: natural variation in inbreeding does not compromise short-term physiological responses Proceedings of the Royal Society of London Series B: Biological Sciences, 286, (doi: 10.1098/rspb.2019.2109)

Davies, V., Noè, U., Lazarus, A., Gao, H., Macdonald, B., Berry, C., Luo, X., Husmeier, D. (2019) Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation Journal of the Royal Statistical Society: Series C (Applied Statistics), 68, pp. 1555-1576. (doi: 10.1111/rssc.12374)

Edmunds, C., Martín-Martínez, S., Browell, J., Gómez-Lázaro, E., Galloway, S. (2019) On the participation of wind energy in response and reserve markets in Great Britain and Spain Renewable and Sustainable Energy Reviews, 115, (doi: 10.1016/j.rser.2019.109360)

Browell, J., Stock, A., McMillan, D. (2019) Recommendation for the Evaluation of Wind Farm Power Available Signal Accuracy

Gilbert, C., Browell, J., McMillan, D. (2019) A Data-driven Vessel Motion Model for Offshore Access Forecasting (doi: 10.1109/OCEANSE.2019.8867176)

Wandy, J., Davies, V., van der Hooft, J. J.J., Weidt, S., Daly, R., Rogers, S. (2019) In silico optimization of mass spectrometry fragmentation strategies in metabolomics Metabolites, 9, (doi: 10.3390/metabo9100219)

Amato, G., Eisank, C., Castro-Camilo, D., Lombardo, L. (2019) Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment Engineering Geology, 260, (doi: 10.1016/j.enggeo.2019.105237)

Colebank, M. J., Paun, L. M., Qureshi, M. U., Chesler, N., Husmeier, D., Olufsen, M. S., Ellwein Fix, L. (2019) Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries Journal of the Royal Society: Interface, 16, (doi: 10.1098/rsif.2019.0284)

Napier, G., Lee, D., Robertson, C., Lawson, A. (2019) A Bayesian space–time model for clustering areal units based on their disease trends Biostatistics, 20, pp. 681-697. (doi: 10.1093/biostatistics/kxy024)

Stoner, O., Economou, T., Drummond Marques da Silva, G. (2019) A hierarchical framework for correcting under-reporting in count data Journal of the American Statistical Association, 114, pp. 1481-1492. (doi: 10.1080/01621459.2019.1573732)

Wu, M., Cai, X., Lin, J., Zhang, X., Scott, E. M., Li, X. (2019) Association between fibre intake and indoxyl sulphate/P-cresyl sulphate in patients with chronic kidney disease: meta-analysis and systematic review of experimental studies Clinical Nutrition, 38, pp. 2016-2022. (doi: 10.1016/j.clnu.2018.09.015)

Naysmith, P., Scott, E. M., Dunbar, E., Cook, G. T. (2019) Humics - their history in the radiocarbon inter-comparisons studies Radiocarbon, 61, pp. 1413-1422. (doi: 10.1017/RDC.2019.11)

Scott, E.M., Cook, G.T., Naysmith, P., Staff, R.A. (2019) Learning from the wood samples in ICS, TIRI, FIRI, VIRI and SIRI Radiocarbon, 61, pp. 1293-1304. (doi: 10.1017/RDC.2019.12)

Scott, E. M., Naysmith, P., Cook, G. T. (2019) Life after SIRI- where next? Radiocarbon, 61, pp. 1159-1168. (doi: 10.1017/RDC.2019.10)

McIntosh, A., Anderson, C. (2019) Modelling the Risk of Exceeding Air Quality Monitoring Thresholds in Scotland

Richardson, J., Feuchtmayr, H., Miller, C., Hunter, P., Maberly, S. C., Carvalho, L. (2019) The response of cyanobacteria and phytoplankton abundance to warming, extreme rainfall events and nutrient enrichment Global Change Biology, 25, pp. 3365-3380. (doi: 10.1111/gcb.14701)

Bastos, L. S., Economou, T., Gomes, M. F.C., Villela, D. A.M., Coelho, F. C., Cruz, O. G., Stoner, O., Bailey, T., Codeço, C. T. (2019) A modelling approach for correcting reporting delays in disease surveillance data Statistics in Medicine, 38, pp. 4363-4377. (doi: 10.1002/sim.8303)

Nightingale, G. F., Illian, J. B., King, R., Nightingale, P. (2019) Area interaction point processes for bivariate point patterns in a Bayesian context Journal of Environmental Statistics, 9,

Chung, L. H. C., Birch, D. J. S., Vyshemirsky, V., Ryadnov, M. G., Rolinski, O. J. (2019) Tracking insulin glycation in real time by time-resolved emission spectroscopy Journal of Physical Chemistry B, 123, pp. 7812-7817. (doi: 10.1021/acs.jpcb.9b06363)

Davies, V., Reid, J., Wiseman-Orr, M. L., Scott, E. M. (2019) Optimising outputs from a validated online instrument to measure health-related quality of life (HRQL) in dogs PLoS ONE, 14, (doi: 10.1371/journal.pone.0221869)

Marinas-Collado, I., Bowman, A., Macaulay, V. (2019) A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions Computational Statistics and Data Analysis, 137, pp. 285-298. (doi: 10.1016/j.csda.2019.03.002)

Castro-Camilo, D., Huser, R., Rue, H. (2019) A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting Journal of Agricultural, Biological and Environmental Statistics, 24, pp. 517-534. (doi: 10.1007/s13253-019-00369-z)

Zhang, W., Bravington, M.V., Fewster, R.M. (2019) Fast likelihood‐based inference for latent count models using the saddlepoint approximation Biometrics, 75, pp. 723-733. (doi: 10.1111/biom.13030)

Macdonald, B., Husmeier, D. (2019) Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching Statistics and Computing, 29, pp. 853-867. (doi: 10.1007/s11222-018-9840-4)

Grzegorczyk, M., Husmeier, D. (2019) Modelling non-homogeneous dynamic Bayesian networks with piece-wise linear regression models Wiley

Anderson, C., Hafen, R., Sofrygin, O., Ryan, L. (2019) Comparing predictive abilities of longitudinal child growth models Statistics in Medicine, 38, pp. 3555-3570. (doi: 10.1002/sim.7693)

Anderson, C., Xiao, L., Checkley, W. (2019) Using data from multiple studies to develop a child growth correlation matrix Statistics in Medicine, 30, pp. 3540-3554. (doi: 10.1002/sim.7696)

Paun, I., Husmeier, D., Torney, C. (2019) A Study on Discrete-Time Movement Models (doi: 10.11159/icsta19.27)

Romaszko, L., Borowska, A., Lazarus, A., Gao, H., Luo, X., Husmeier, D. (2019) Direct Learning Left Ventricular Meshes from CMR Images (doi: 10.11159/icsta19.25)

Paun, L. M., Colebank, M., Qureshi, M. U., Olufsen, M., Hill, N., Husmeier, D. (2019) MCMC with Delayed Acceptance using a Surrogate Model with an Application to Cardiovascular Fluid Dynamics (doi: 10.11159/icsta19.28)

Romaszko, L., Lazarus, A., Gao, H., Borowska, A., Luo, X., Husmeier, D. (2019) Massive Dimensionality Reduction for the Left Ventricular Mesh (doi: 10.11159/icsta19.24)

Yang, Y., Gao, H., Berry, C., Radjenovic, A., Husmeier, D. (2019) Quantification of Myocardial Perfusion Lesions Using Spatially Variant Finite Mixture Modelling of DCE-MRI (doi: 10.11159/icsta19.26)

Hurford, A., Cobbold, C. A., Molnár, P. K. (2019) Skewed temperature dependence affects range and abundance in a warming world Proceedings of the Royal Society of London Series B: Biological Sciences, 286, (doi: 10.1098/rspb.2019.1157)

Husmeier, D., Lazarus, A., Noè, U., Davies, V., Borowska, A., Macdonald, B., Gao, H., Berry, C., Luo, X. (2019) Statistical Emulation of Cardiac Mechanics: an Important Step Towards a Clinical Decision Support System (doi: 10.11159/icsta19.29)

Mair, C., Wulaningsih, W., Jeyam, A., McGurnaghan, S., Blackbourn, L., Kennon, B., Leese, G., Lindsay, R., McCrimmon, R. J., McKnight, J., Petrie, J. R., Sattar, N., Wild, S. H., Conway, N., Craigie, I., Robertson, K., Bath, L., McKeigue, P. M., Colhoun, H. M. (2019) Glycaemic control trends in people with type 1 diabetes in Scotland 2004–2016 Diabetologia, 62, pp. 1375-1384. (doi: 10.1007/s00125-019-4900-7)

Davies, V., Harvey, W. T., Reeve, R., Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model Journal of the Royal Statistical Society: Series C (Applied Statistics), 68, pp. 859-885. (doi: 10.1111/rssc.12338)

Devlin, J., Husmeier, D., Mackenzie, J.A. (2019) Optimal estimation of drift and diffusion coefficients in the presence of static localization error Physical Review E, 100, (doi: 10.1103/PhysRevE.100.022134)

Zhang, W., Liu, J., Goodman, J., Weir, B. S., Fewster, R. M. (2019) Stationary distribution of the linkage disequilibrium coefficient r2 Theoretical Population Biology, 128, pp. 19-26. (doi: 10.1016/j.tpb.2019.05.002)

Python, A., Illian, J. B., Jones‐Todd, C. M., Blangiardo, M. (2019) The deadly facets of terrorism Significance, 16, pp. 28-31. (doi: 10.1111/j.1740-9713.2019.01300.x)

Noè, U., Lazarus, A., Gao, H., Davies, V., Macdonald, B., Mangion, K., Berry, C., Luo, X., Husmeier, D. (2019) Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance Journal of the Royal Society: Interface, 16, (doi: 10.1098/rsif.2019.0114)

Al Alawi, M., Ray, S., Gupta, M. (2019) A New Framework for Distance-based Functional Clustering

Yang, X., Zhang, L., Gao, L., Xue, J.-H. (2019) MSDH: matched subspace detector with heterogeneous noise Pattern Recognition Letters, 125, pp. 701-707. (doi: 10.1016/j.patrec.2019.07.014)

Dean, N., Dong, G., Piekut, A., Pryce, G. (2019) Frontiers in residential segregation: understanding neighbourhood boundaries and their impacts Tijdschrift voor Economische en Sociale Geografie, 110, pp. 271-288. (doi: 10.1111/tesg.12316)

Niu, M., Cheung, P., Lin, L., Dai, Z., Lawrence, N., Dunson, D. (2019) Intrinsic Gaussian processes on complex constrained domains Journal of the Royal Statistical Society: Series B (Statistical Methodology), 81, pp. 603-627. (doi: 10.1111/rssb.12320)

Bayarri, M.J., Berger, J. O., Jang, W., Ray, S., Pericchi, L. R., Visser, I. (2019) Prior-based Bayesian information criterion Statistical Theory and Related Fields, 3, pp. 2-13. (doi: 10.1080/24754269.2019.1582126)

Berger, J., Jang, W., Ray, S., Rericchi, L. R., Visser, I. (2019) Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser Statistical Theory and Related Fields, 3, pp. 37-39. (doi: 10.1080/24754269.2019.1611147)

Browell, J., Möhrlen, C., Zack, J., Messner, J. W. (2019) IEA Wind Recommended Practices for Selecting Renewable Power Forecasting Solutions: Part 3: Evaluation of Forecasts and Forecast Solutions

Ray, S. (2019) Analysis of PET Imaging for Tumor Delineation

Stefan, T., Matthews, L., Prada, J. M., Mair, C., Reeve, R., Stear, M. J. (2019) Divergent Allele Advantage provides a quantitative model for maintaining alleles with a wide range of intrinsic merits Genetics, 212, pp. 553-564. (doi: 10.1534/genetics.119.302022)

Jack, E., Lee, D., Dean, N. (2019) Estimating the changing nature of Scotland's health inequalities using a multivariate spatiotemporal model Journal of the Royal Statistical Society: Series A (Statistics in Society), 182, pp. 1061-1080. (doi: 10.1111/rssa.12447)

Lee, D., Roertson, C., Ramsay, C., Gillespie, C., Napier, G. (2019) Estimating the health impact of air pollution in Scotland, and the resulting benefits of reducing concentrations in city centres Spatial and Spatio-Temporal Epidemiology, 29, pp. 85-96. (doi: 10.1016/j.sste.2019.02.003)

Mangisa, S., Das, S., Ray, S., Sharp, G. (2019) Functional regression models for South African economic indicators: a growth curve perspective OPEC Energy Review, 43, pp. 217-237. (doi: 10.1111/opec.12148)

Soriano‐Redondo, A., Jones‐Todd, C. M., Bearhop, S., Hilton, G. M., Lock, L., Stanbury, A., Votier, S. C., Illian, J. B. (2019) Understanding species distribution in dynamic populations: a new approach using spatio‐temporal point process models Ecography, 42, pp. 1092-1102. (doi: 10.1111/ecog.03771)

Bachl, F. E., Lindgren, F., Borchers, D. L., Illian, J. B. (2019) inlabru: an R package for Bayesian spatial modelling from ecological survey data Methods in Ecology and Evolution, 10, pp. 760-766. (doi: 10.1111/2041-210X.13168)

Baştürk, N., Borowska, A., Grassi, S., Hoogerheide, L., van Dijk, H.K. (2019) Forecast density combinations of dynamic models and data driven portfolio strategies Journal of Econometrics, 210, pp. 170-186. (doi: 10.1016/j.jeconom.2018.11.011)

Wilkie, C.J., Miller, C.A., Scott, E.M., O'Donnell, R.A., Hunter, P.D., Spyrakos, E., Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support Environmetrics, 30, (doi: 10.1002/env.2549)

Jani, B. D., Hanlon, P., Nicholl, B. I., McQueenie, R., Gallacher, K. I., Lee, D., Mair, F. S. (2019) Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank Cohort BMC Medicine, 17, (doi: 10.1186/s12916-019-1305-x)

Jayaraman, S., Harris, C., Paxton, E., Donachie, A.-M., Vaikkinen, H., McCulloch, R., Hall, J. P.J., Kenny, J., Lenzi, L., Herts-Fowler, C., Cobbold, C., Reeve, R., Micheol, T., Morrison, L. J. (2019) Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections PLoS Neglected Tropical Diseases, 13, (doi: 10.1371/journal.pntd.0007262)

Sørbye, S. H., Illian, J. B., Simpson, D. P., Burslem, D., Rue, H. (2019) Careful prior specification avoids incautious inference for log-Gaussian Cox point processes Journal of the Royal Statistical Society: Series C (Applied Statistics), 68, pp. 543-564. (doi: 10.1111/rssc.12321)

Flynt, A., Dean, N. (2019) Growth mixture modeling with measurement selection Journal of Classification, 36, pp. 3-25. (doi: 10.1007/s00357-018-9275-9)

Jones-Todd, C. M., Caie, P., Illian, J. B., Stevenson, B. C., Savage, A., Harrison, D. J., Bown, J. L. (2019) Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis Statistics in Medicine, 38, pp. 1421-1441. (doi: 10.1002/sim.8046)

Tuchow, N. W., Ford, E. B., Papamarkou, T., Lindo, A. (2019) The efficiency of geometric samplers for exoplanet transit timing variation models Monthly Notices of the Royal Astronomical Society, 484, pp. 3772-3784. (doi: 10.1093/mnras/stz247)

Grau Andres, R., Gray, A., Davies, G. M., Scott, E. M., Waldron, S. (2019) Burning increases post-fire carbon emissions in a heathland and a raised bog, but experimental manipulation of fire severity has no effect Journal of Environmental Management, 233, pp. 321-328. (doi: 10.1016/j.jenvman.2018.12.036)

Bakka, H., Vanhatalo, J., Illian, J. B., Simpson, D., Rue, H. (2019) Non-stationary Gaussian models with physical barriers Spatial Statistics, 29, pp. 268-288. (doi: 10.1016/j.spasta.2019.01.002)

Franco-Villoria, M., Scott, M., Hoey, T. (2019) Spatiotemporal modeling of hydrological return levels: A quantile regression approach Environmetrics, 30, (doi: 10.1002/env.2522)

Flynt, A., Dean, N., Nugent, R. (2019) sARI: a soft agreement measure for class partitions incorporating assignment probabilities Advances in Data Analysis and Classification, 13, pp. 303-323. (doi: 10.1007/s11634-018-0346-x)

Möhrlen, C., Zack, J., Lerner, J., Messner, J., Browell, J., Collier, C., Tuohy, A., Sharp, J., Westenholz, M. (2019) Recommended Practices for the Implementation of Wind Power Forecasting Solutions: Part 2: Designing and Executing Forecasting Benchmarks and Trials

Möhrlen, C., Zack, J., Messner, J., Browell, J., Collier, C. (2019) Recommended Practices for the Implementation of Wind Power Forecasting Solutions: Part 3: Evaluation of Forecasts and Forecast Solutions

McLean, M.I., Evers, L., Bowman, A.W., Bonte, M., Jones, W.R. (2019) Statistical modelling of groundwater contamination monitoring data: a comparison of spatial and spatiotemporal methods Science of the Total Environment, 652, pp. 1339-1346. (doi: 10.1016/j.scitotenv.2018.10.231)

Macaulay, V., Soares, P., Richards, M. B. (2019) Rectifying long-standing misconceptions about the p statistic for molecular dating PLoS ONE, 14, (doi: 10.1371/journal.pone.0212311)

Finazzi, F., Napier, Y., Scott, M., Hills, A., Cameletti, M. (2019) A statistical emulator for multivariate model outputs with missing values Atmospheric Environment, 199, pp. 415-422. (doi: 10.1016/j.atmosenv.2018.11.025)

Ewing, D. A., Cobbold, C. A., Purse, B. V., Schafer, S. M., White, S. M. (2019) Uncovering mechanisms behind mosquito seasonality by integrating mathematical models and daily empirical population data: Culex pipiens in the UK Parasites and Vectors, 12, (doi: 10.1186/s13071-019-3321-2)

Beresford, N.A., Scott, E. M., Copplestone, D. (2019) Field effects studies in the Chernobyl Exclusion Zone: lessons to be learnt Journal of Environmental Radioactivity, (doi: 10.1016/j.jenvrad.2019.01.005)

Grau-Andrés, R., Davies, G. M., Waldron, S., Scott, E. M., Gray, A. (2019) Increased fire severity alters initial vegetation regeneration across Calluna-dominated ecosystems Journal of Environmental Management, 231, pp. 1004-1011. (doi: 10.1016/j.jenvman.2018.10.113)

Bowman, A. W. (2019) Graphics for uncertainty Journal of the Royal Statistical Society: Series A (Statistics in Society), 182, pp. 403-418. (doi: 10.1111/rssa.12379)

Umar Qureshi, M., Colebank, M. J., Paun, L. M., Ellwein, L., Chesler, N., Haider, M. A., Hill, N. A., Husmeier, D., Olufsen, M. S. (2019) Hemodynamic assessment of pulmonary hypertension in mice: a model based analysis of the disease mechanism Biomechanics and Modeling in Mechanobiology, 18, pp. 219-243. (doi: 10.1007/s10237-018-1078-8)

Borowska, A., Hoogerheide, L. F., Koopman, S. J. (2019) Bayesian Risk Forecasting for Long Horizons (doi: 10.2139/ssrn.3339819)

Python, A., Illian, J. B., Jones‐Todd, C. M., Blangiardo, M. (2019) A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016 Journal of the Royal Statistical Society: Series A (Statistics in Society), 182, pp. 323-344. (doi: 10.1111/rssa.12384)

Pennino, M. G., Paradinas, I., Illian, J. B., Muñoz, F., Bellido, J. M., López-Quílez, A., Conesa, D. (2019) Accounting for preferential sampling in species distribution models Ecology and Evolution, 9, pp. 653-663. (doi: 10.1002/ece3.4789)

Moesta, A., Hours, M.A., Boutigny, L., Davies, V., Kelly, S., Mougeotc, I., Reid, J. (2019) A Weight Loss Diet With Alpha-casozepine and L-tryptophane Improves Health Related Quality of Life in Dogs

Noble, C. E., Wiseman-Orr, L. M., Scott, M. E., Nolan, A. M., Reid, J. (2019) Development, initial validation and reliability testing of a web-based, generic feline health-related quality of life instrument Journal of Feline Medicine and Surgery, 21, pp. 84-94. (doi: 10.1177/1098612X18758176)

Lin, L., Niu, M., Cheung, P., Dunson, D. (2019) Extrinsic Gaussian processes for regression and classification on manifolds Bayesian Analysis, 14, pp. 887-906. (doi: 10.1214/18-BA1135)

Grzegorczyk, M., Aderhold, A., Husmeier, D. (2019) Overview and evaluation of recent methods for statistical inference of gene regulatory networks from time series data Humana Press

Illian, J. B. (2019) Spatial and spatio-temporal point processes in ecological applications CRC Press

Low, M.I., Bonte, M., Evers, L., Bowman, A.W., Jones, W.R. (2019) Statistical Modelling of Groundwater Contamination Monitoring Data using GWSDAT: a Comparison of Spatial and Spatiotemporal Methods

2018

Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution Annals of Applied Statistics, 12, pp. 2540-2558. (doi: 10.1214/18-AOAS1167)

Krainski, E. T., Gómez-Rubio, V., Bakka, H., Lenzi, A., Castro-Camilo, D., Simpson, D., Lindgren, F., Rue, H. (2018) Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R and INLA Chapman & Hall/CRC

Vittert, L., Katina, S., Ayoub, A., Khambay, B., Bowman, A.W. (2018) Assessing the outcome of orthognathic surgery by three-dimensional soft tissue analysis International Journal of Oral and Maxillofacial Surgery, 47, pp. 1587-1595. (doi: 10.1016/j.ijom.2018.05.024)

Hildeman, A., Bolin, D., Wallin, J., Illian, J. B. (2018) Level set Cox processes Spatial Statistics, 28, pp. 169-193. (doi: 10.1016/j.spasta.2018.03.004)

Richardson, J., Miller, C., Maberly, S., Taylor, P., Globevnik, L., Hunter, P., Jeppesen, E., Mischke, U., Moe, J., Pasztaleniec, A., Søndergaard, M., Carvalho, L. (2018) Effects of multiple stressors on cyanobacteria abundance varies with lake type Global Change Biology, 24, pp. 5044-5055. (doi: 10.1111/gcb.14396)

Caudell, M. A., Mair, C., Subbiah, M., Matthews, L., Quinlan, R. J., Zadoks, R., Keyyu, J., Call, D. R. (2018) Identification of risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in Tanzania: a biological and socioeconomic analysis Lancet Planetary Health, 2, pp. e489-e497. (doi: 10.1016/S2542-5196(18)30225-0)

Browell, J., Drew, D.R., Philippopoulos, K. (2018) Improved very-short-term wind forecasting using atmospheric regimes Wind Energy, 21, pp. 968-979. (doi: 10.1002/we.2207)

Jani, B. D., Nicholl, B. I., McQueenie, R., Connelly, D. T., Hanlon, P., Gallacher, K. I., Lee, D., Mair, F. S. (2018) Multimorbidity and co-morbidity in atrial fibrillation and effects on survival: findings from UK Biobank cohort Europace, 20, pp. f329-f336. (doi: 10.1093/europace/eux322)

Bakka, H., Rue, H., Fuglstad, G.-A., Riebler, A., Bolin, D., Illian, J., Krainski, E., Simpson, D., Lindgren, F. (2018) Spatial modeling with R-INLA: A review Wiley Interdisciplinary Reviews: Computational Statistics, 10, (doi: 10.1002/wics.1443)

Möhrlen, C., Lerner, J., Messner, J. W., Browell, J., Tuohy, A., Zack, J., Collier, C., Giebel, G. (2018) IEA Wind Recommended Practices for the Implementation of Wind Power Forecasting Solutions Part 2 and 3: Designing and Executing Forecasting Benchmarks and Evaluation of Forecast Solutions

Young, D. M., Parry, L. E., Lee, D., Ray, S. (2018) Spatial models with covariates improve estimates of peat depth in blanket peatlands PLoS ONE, 13, (doi: 10.1371/journal.pone.0202691)

Bakka, H. C., Castro-Camilo, D., Franco-Villoria, M., Freni-Sterrantino, A., Huser, T., Rue, H. (2018) Contributed discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al​. Bayesian Analysis, 13, pp. 982-985. (doi: 10.1214/17-BA1091)

Hoolohan, C., Larkin, A., McLachlan, C., Falconer, R., Soutar, I., Suckling, J., Varga, L., Haltas, I., Druckman, A., Lumbroso, D., Scott, M., Gilmour, D., Ledbetter, R., McGrane, S., Mitchell, C., Yu, D. (2018) Engaging stakeholders in research to address water–energy–food (WEF) nexus challenges Sustainability Science, 13, pp. 1415-1426. (doi: 10.1007/s11625-018-0552-7)

Gilbert, C., Browell, J., McMillan, D. (2018) A Hierarchical Approach to Probabilistic Wind Power Forecasting (doi: 10.1109/PMAPS.2018.8440571)

Cullen, B., Newby, D., Lee, D., Lyall, D. M., Nevado-Holgado, A. J., Evans, J. J., Pell, J. P., Lovestone, S., Cavanagh, J. (2018) Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank Scientific Reports, 8, (doi: 10.1038/s41598-018-30568-6)

Yu, C., Zhang, W., Xu, X., Ji, Y., Yu, S. (2018) Data mining based multi-level aggregate service planning for cloud manufacturing Journal of Intelligent Manufacturing, 29, pp. 1351-1361. (doi: 10.1007/s10845-015-1184-8)

Păun, L. M., Qureshi, M. U., Colebank, M., Hill, N. A., Olufsen, M. S., Haider, M. A., Husmeier, D. (2018) MCMC methods for inference in a mathematical model of pulmonary circulation Statistica Neerlandica, 72, pp. 306-338. (doi: 10.1111/stan.12132)

Giurghita, D., Husmeier, D. (2018) Statistical modelling of cell movement Statistica Neerlandica, 72, pp. 265-280. (doi: 10.1111/stan.12140)

Hanlon, P., Nicholl, B. I., Jani, B. D., Lee, D., McQueenie, R., Mair, F. S. (2018) Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493,737 UK Biobank participants Lancet Public Health, 3, pp. e323-e332. (doi: 10.1016/S2468-2667(18)30091-4)

Elayouty, A., Scott, M., Miller, C., Waldron, S. (2018) Functional Principal Component Analysis for Non-stationary Dynamic Time Series

Wandy, J., Niu, M., Giurghita, D., Daly, R., Rogers, S., Husmeier, D. (2018) ShinyKGode: an interactive application for ODE parameter inference using gradient matching Bioinformatics, 34, pp. 2314-2315. (doi: 10.1093/bioinformatics/bty089)

Gong, M., Miller, C., Scott, M. (2018) Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data

Wilkie, C., Miller, C., Scott, M., Simis, S., Groom, S., Hunter, P., Spyrakos, E., Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data

Barra, I., Borowska, A., Koopman, S. J. (2018) Bayesian dynamic modeling of high-frequency integer price changes Journal of Financial Econometrics, 16, pp. 384-424. (doi: 10.1093/jjfinec/nby010)

Browell, J. (2018) Risk constrained trading strategies for stochastic generation with a single-price balancing market Energies, 11, (doi: 10.3390/en11061345)

Reid, J., Wiseman-Orr, L., Scott, M. (2018) Shortening of an existing generic online health-related quality of life instrument for dogs Journal of Small Animal Practice, 59, pp. 334-342. (doi: 10.1111/jsap.12772)

Niu, M., Macdonald, B., Rogers, S., Filippone, M., Husmeier, D. (2018) Statistical inference in mechanistic models: time warping for improved gradient matching Computational Statistics, 33, pp. 1091-1123. (doi: 10.1007/s00180-017-0753-z)

Bowman, A. W. (2018) Big questions, informative data, excellent science Statistics and Probability Letters, 136, pp. 34-36. (doi: 10.1016/j.spl.2018.02.017)

Chanialidis, C., Evers, L., Neocleous, T., Nobile, A. (2018) Efficient Bayesian inference for COM-Poisson regression models Statistics and Computing, 28, pp. 595-608. (doi: 10.1007/s11222-017-9750-x)

Lindo, A., Zuyev, S., Sagitov, S. (2018) Nonparametric estimation for compound Poisson process via variational analysis on measures Statistics and Computing, 28, pp. 563-577. (doi: 10.1007/s11222-017-9748-4)

Huque, M. H., Anderson, C., Walton, R., Woolford, S., Ryan, L. (2018) Smooth individual level covariates adjustment in disease mapping Biometrical Journal, 60, pp. 597-615. (doi: 10.1002/bimj.201700143)

Scott, E. M. (2018) The role of Statistics in the era of big data: crucial, critical and under-valued Statistics and Probability Letters, 136, pp. 20-24. (doi: 10.1016/j.spl.2018.02.050)

Jones-Todd, C. M., Swallow, B., Illian, J. B., Toms, M. (2018) A spatiotemporal multispecies model of a semicontinuous response Journal of the Royal Statistical Society: Series C (Applied Statistics), 67, pp. 705-722. (doi: 10.1111/rssc.12250)

Mangion, K., Gao, H., Husmeier, D., Luo, X., Berry, C. (2018) Advances in computational modelling for personalised medicine after myocardial infarction Heart, 104, pp. 550-557. (doi: 10.1136/heartjnl-2017-311449)

Lee, D., Rushworth, A., Napier, G. (2018) Spatio-temporal areal unit modelling in R with conditional autoregressive priors using the CARBayesST package Journal of Statistical Software, 84, (doi: 10.18637/jss.v084.i09)

Huang, G., Lee, D., Scott, E. M. (2018) Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty Statistics in Medicine, 37, pp. 1134-1148. (doi: 10.1002/sim.7570)

Grau-Andres, R., Davies, G. M., Gray, A., Scott, E. M., Waldron, S. (2018) Fire severity is more sensitive to low fuel moisture content on Calluna heathlands than on peat bogs Science of the Total Environment, 616-17, pp. 1261-1269. (doi: 10.1016/j.scitotenv.2017.10.192)

Spyrakos, E., O'Donnell, R., Hunter, P. D., Miller, C., Scott, M., Simis, S. G.H., Neil, C., Barbosa, C. C.F., Binding, C. E., Bradt, S., Bresciani, M., Dall'Olmo, G., Giardino, C., Gitelson, A. A., Kutser, T., Li, L., Matsushita, B., Martinez-Vicente, V., Matthews, M. W., Ogashawara, I., Ruiz-Verdú, A., Schalles, J. F., Tebbs, E., Zhang, Y., Tyler, A. N. (2018) Optical types of inland and coastal waters Limnology and Oceanography, 63, pp. 846-870. (doi: 10.1002/lno.10674)

Castro-Camilo, D., de Carvalho, M., Wadsworth, J. (2018) Time-varying extreme value dependence with application to leading European stock markets Annals of Applied Statistics, 12, pp. 283-309. (doi: 10.1214/17-AOAS1089)

Gallacher, K. I., McQueenie, R., Nicholl, B., Jani, B. D., Lee, D., Mair, F. S. (2018) Risk factors and mortality associated with multimorbidity in people with stroke or transient ischaemic attack: a study of 8,751 UK Biobank participants Journal of Comorbidity, 8, pp. 1-8. (doi: 10.15256/joc.2018.8.129)

Scott, E. M., Naysmith, P., Cook, G. T. (2018) Why do we need 14C inter-comparisons?: The Glasgow 14C inter-comparison series, a reflection over 30 years Quaternary Geochronology, 43, pp. 72-82. (doi: 10.1016/j.quageo.2017.08.001)

Alghamdi, A., Vyshemirsky, V., Birch, D.J.S., Rolinski, O.J. (2018) Detecting beta-amyloid aggregation from the time-resolved emission spectra Methods and Applications in Fluorescence, 6, (doi: 10.1088/2050-6120/aa9f95)

Elliott, A., Leicht, E., Whitmore, A., Reinert, G., Reed-Tsochas, F. (2018) A nonparametric significance test for sampled networks Bioinformatics, 34, pp. 64-71. (doi: 10.1093/bioinformatics/btx419)

Hanlon, P., Nicholl, B. I., Jani, B. D., McQueenie, R., Lee, D., Gallacher, K. I., Mair, F. S. (2018) Examining patterns of multimorbidity, polypharmacy and risk of adverse drug reactions in chronic obstructive pulmonary disease: a cross-sectional UK Biobank study BMJ Open, 8, (doi: 10.1136/bmjopen-2017-018404)

Lindo, A., Sagitov, S. (2018) General linear-fractional branching processes with discrete time Stochastics, 90, pp. 364-378. (doi: 10.1080/17442508.2017.1357722)

Yurk, B. P., Cobbold, C. A. (2018) Homogenization techniques for population dynamics in strongly heterogeneous landscapes Journal of Biological Dynamics, 12, pp. 171-193. (doi: 10.1080/17513758.2017.1410238)

Lazarus, A., Husmeier, D., Papamarkou, T. (2018) Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations Proceedings of Machine Learning Research, 84, pp. 1252-1260.

2017

Chung, L. H. C., Birch, D. J.S., Vyshemirsky, V., Ryadnov, M. G., Rolinski, O. J. (2017) Insulin aggregation tracked by its intrinsic TRES Applied Physics Letters, 111, (doi: 10.1063/1.5008477)

McCulloch, R., Cobbold, C. A., Figueiredo, L., Jackson, A., Morrison, L. J., Mugnier, M. R., Papavasiliou, N., Schnaufer, A., Matthews, K. (2017) Emerging challenges in understanding trypanosome antigenic variation Emerging Topics in Life Sciences, 1, pp. 585-592. (doi: 10.1042/ETLS20170104)

Grau-Andrés, R., Davies, G. M., Waldron, S., Scott, E. M., Gray, A. (2017) Leaving moss and litter layers undisturbed reduces the short-term environmental consequences of heathland managed burns Journal of Environmental Management, 204, pp. 102-110. (doi: 10.1016/j.jenvman.2017.08.017)

Yuan, Y., Bachl, F. E., Lindgren, F., Borchers, D. L., Illian, J. B., Buckland, S. T., Rue, H., Gerrodette, T. (2017) Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales Annals of Applied Statistics, 11, pp. 2270-2297. (doi: 10.1214/17-AOAS1078)

Waddington, J. L., Katina, S., O'Tuathaigh, C. M.P., Bowman, A. W. (2017) Translational genetic modelling of 3D craniofacial dysmorphology: elaborating the facial phenotype of neurodevelopmental disorders through the prism of schizophrenia Current Behavioral Neuroscience Reports, 4, pp. 322-330. (doi: 10.1007/s40473-017-0136-3)

Neslihanoglu, S., Sogiakas, V., McColl, J., Lee, D. (2017) Nonlinearities in the CAPM: evidence from developed and emerging markets Journal of Forecasting, 36, pp. 867-897. (doi: 10.1002/for.2389)

Milotti, E., Vyshemirsky, V., Stella, S., Dogo, F., Chignola, R. (2017) Analysis of the fluctuations of the tumour/host interface Physica A: Statistical Mechanics and its Applications, 486, pp. 587-594. (doi: 10.1016/j.physa.2017.06.005)

Liu, C., Ray, S., Hooker, G. (2017) Functional principal component analysis of spatially correlated data Statistics and Computing, 27, pp. 1639-1654. (doi: 10.1007/s11222-016-9708-4)

Castro-Camilo, D., Lombardo, L., Mai, P. M., Dou, J., Huser, R. (2017) Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model Environmental Modelling and Software, 97, pp. 145-156. (doi: 10.1016/j.envsoft.2017.08.003)

Reid, J., Scott, M., Nolan, A. (2017) Pain assessment in companion animals: an update In Practice, 39, pp. 446-451. (doi: 10.1136/inp.j4513)

Gao, H., Mangion, K., Carrick, D., Husmeier, D., Luo, X., Berry, C. (2017) Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models Scientific Reports, 7, (doi: 10.1038/s41598-017-13635-2)

Illian, J. B., Burslem, D. F.R.P. (2017) Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology AStA Advances in Statistical Analysis, 101, pp. 495-520. (doi: 10.1007/s10182-017-0301-8)

Dunbar, E., Naysmith, P., Cook, G.T., Scott, E.M., Xu, S., Tripney, B.G. (2017) Investigation of the analytical F14C bone background value at SUERC Radiocarbon, 59, pp. 1463-1473. (doi: 10.1017/RDC.2017.67)

Dean, N., Pryce, G. (2017) Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration Urban Studies, 54, pp. 3058-3070. (doi: 10.1177/0042098016668779)

Naysmith, P., Dunbar, E., Scott, E.M., Cook, G.T., Tripney, B.G. (2017) Preliminary results for estimating the bone background uncertainties at SUERC using statistical analysis Radiocarbon, 59, pp. 1579-1587. (doi: 10.1017/RDC.2017.70)

Scott, E.M., Naysmith, P., Cook, G.T. (2017) Should archaeologists care about 14C inter-comparisons? Why? A summary report on SIRI Radiocarbon, 59, pp. 1589-1596. (doi: 10.1017/RDC.2017.12)

Lazarus, A., Husmeier, D., Papamarkou, T. (2017) Inference in Complex Systems Using Multi-Phase MCMC Sampling with Gradient Matching

Pasetto, M., Noè, U., Luati, A., Husmeier, D. (2017) Inference on the Duffing System With the Unscented Kalman Filter and Optimization of Sigma Points

Niu, M., Rogers, S., Filippone, M., Husmeier, D. (2017) Parameter Inference in Differential Equation Models Using Time Warped Gradient Matching

Paun, L., Haider, M., Hill, N., Olufsen, M., Qureshi, M., Papamarkou, T., Husmeier, D. (2017) Parameter Inference in the Pulmonary Blood Circulation

Stewart, K., Matthews, L., Scott, E. M., Husmeier, D., Mccowan, C. (2017) Preliminary Investigation of the Influences on Antimicrobial Resistance

Husmeier, D., Ferguson, E., Matthiopoulos, J., Insall, R. (2017) Statistical Inference of the Drivers of Collective Cell Movement

Giurghita, D., Husmeier, D. (2017) Statistical Modelling of Cell Movement Data Using the Unscented Kalman Filter

Castro-Camilo, D., de Carvalho, M. (2017) Spectral density regression for bivariate extremes Stochastic Environmental Research and Risk Assessment, 31, pp. 1603-1613. (doi: 10.1007/s00477-016-1257-z)

Davies, V., Reeve, R., Harvey, W. T., Maree, F. F., Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution Computational Statistics, 32, pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

Che Roos, N. A., Alsanosi, S. M., Alsieni, M. A., Gupta, M., Padmanabhan, S. (2017) Antihypertensive Drugs and Risk of Cancer: A Systematic Review and Meta-Analysis of 391, 790 Patients (doi: 10.1161/hyp.70.suppl_1.p129)

Bessa, R., Möhrlen, C., Fundel, V., Siefert, M., Browell, J., Haglund El Gaidi, S., Hodge, B.-M., Cali, U., Kariniotakis, G. (2017) Towards improved understanding of the applicability of uncertainty forecasts in the electric power industry Energies, 10, (doi: 10.3390/en10091402)

Malvaldi, A., Weiss, S., Infield, D., Browell, J., Leahy, P., Foley, A.M. (2017) A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe Wind Energy, 20, pp. 1315-1329. (doi: 10.1002/we.2095)

Barraquand, F., Louca, S., Abbott, K. C., Cobbold, C. A., Cordoleani, F., DeAngelis, D. L., Elderd, B. D., Fox, J. W., Greenwood, P., Hilker, F. M., Murray, D. L., Stieha, C. R., Taylor, R. A., Vitense, K., Wolkowicz, G. S.K., Tyson, R. C. (2017) Moving forward in circles: challenges and opportunities in modelling population cycles Ecology Letters, 20, pp. 1074-1092. (doi: 10.1111/ele.12789)

Ferguson, E. A., Matthiopoulos, J., Insall, R. H., Husmeier, D. (2017) Statistical inference of the mechanisms driving collective cell movement Journal of the Royal Statistical Society: Series C (Applied Statistics), 66, pp. 869-890. (doi: 10.1111/rssc.12203)

Browell, J., Gilbert, C. (2017) Cluster-based Regime-switching AR for the EEM 2017 Wind Power Forecasting Competition (doi: 10.1109/EEM.2017.7982034)

Alexander, C., Stuart-Smith, J., Neocleous, T., Evers, L. (2017) Using Chain Graph Models for Structural Inference With an Application to Linguistic Data

Ferguson, E. A., Matthiopoulos, J., Husmeier, D. (2017) Constructing Wildebeest Density Distributions by Spatio-temporal Smoothing of Ordinal Categorical Data Using GAMs

Lazarus, A., Husmeier, D., Papamarkou, T. (2017) Inference in Complex Systems Using Multi-Phase MCMC Sampling With Gradient Matching Burn-in

Paun, L. M., Qureshi, M. U., Colebank, M., Haider, M. A., Olufsen, M. S., Hill, N. A., Husmeier, D. (2017) Parameter Inference in the Pulmonary Circulation of Mice

Pasetto, M. E., Husmeier, D., Noè, U., Luati, A. (2017) Statistical Inference in the Duffing System with the Unscented Kalman Filter

Giurghita, D., Husmeier, D. (2017) Statistical Modelling of Cell Movement

Aderhold, A., Husmeier, D., Grzegorczyk, M. (2017) Approximate Bayesian inference in semi-mechanistic models Statistics and Computing, 27, pp. 1003-1040. (doi: 10.1007/s11222-016-9668-8)

Gao, H., Aderhold, A., Mangion, K., Luo, X., Husmeier, D., Berry, C. (2017) Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction Journal of the Royal Society: Interface, 14, (doi: 10.1098/rsif.2017.0203)

Bush, A., Rahel, S., Wilting, A., Kristine, B., Cole, B., Balzter, H., Martius, C., Zlinszky, A., Calvignac-Spencer, S., Cobbold, C. A., Dawson, T. P., Emerson, B. C., Ferrier, S., Gilbert, M. T. P., Herold, M., Jones, L., Leendertz, F. H., Matthews, L., Millington, J. D.A., Olson, J. R., Ovaskainen, O., Raffaelli, D., Reeve, R., Rödel, M.-O., Rodgers, T. W., Snape, S., Visseren-Hamakers, I., Wogler, A. P., White, P. C.L., Wooster, M. J., Yu, D. W. (2017) Connecting Earth observation to high-throughput biodiversity data Nature Ecology and Evolution, 1, (doi: 10.1038/s41559-017-0176)

Grzegorczyk, M., Aderhold, A., Husmeier, D. (2017) Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration Computational Statistics, 32, pp. 717-761. (doi: 10.1007/s00180-017-0721-7)

Reid, J., Scott, E.M., Calvo, G., Nolan, A.M. (2017) Definitive Glasgow Acute Pain Scale for Cats: validation and intervention level Veterinary Record, 108, (doi: 10.1136/vr.104208)

Yamaoka, T. T., Flaherty, D., Pawson, P., Scott, M., Auckburally, A. (2017) Comparison of arterial blood pressure measurements obtained invasively or oscillometrically using a Datex S/5 Compact monitor in anaesthetised adult horses Veterinary Anaesthesia and Analgesia, 44, pp. 492-501. (doi: 10.1016/j.vaa.2016.05.008)

Olivieri, A., Sidore, C., Achilli, A., Angius, A., Posth, C., Furtwängler, A., Brandini, S., Capodiferro, M. R., Gandini, F., Zoledziewska, M., Pitzalis, M., Maschio, A., Busonero, F., Lai, L., Skeates, R., Gradoli, M. G., Beckett, J., Marongiu, M., Mazzarello, V., Marongiu, P., Rubino, S., Rito, T., Macaulay, V., Semino, O., Pala, M., Abecasis, G. R., Schlessinger, D., Conde-Sousa, E., Soares, P., Richards, M. B., Cucca, F., Torroni, A. (2017) Mitogenome diversity in Sardinians: a genetic window onto an island's past Molecular Biology and Evolution, 34, pp. 1230-1239. (doi: 10.1093/molbev/msx082)

Papáček, Š., Matonoha, C., Macdonald, B. (2017) Closed-form formulae vs. PDE based numerical solution for the FRAP data processing: Theoretical and practical comparison Computers and Mathematics with Applications, 73, pp. 1673-1683. (doi: 10.1016/j.camwa.2017.02.010)

Lee, D., Mukhopadhyay, S., Rushworth, A., Sahu, S. K. (2017) A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health Biostatistics, 18, pp. 370-385. (doi: 10.1093/biostatistics/kxw048)

Cavalcante, L., Bessa, R. J., Reis, M., Browell, J. (2017) LASSO vector autoregression structures for very short-term wind power forecasting Wind Energy, 20, pp. 657-675. (doi: 10.1002/we.2029)

Labrosse, N., Bownes, J., Forrest, D., MacTaggart, D., McGookin, E., Poet, R., Ray, S., Fischbacher-Smith, M., Jackson, M., McEwan, M., Pringle Barnes, G., Sheridan, N. (2017) Preparing for the Journey: Supporting Students to Make Successful Transitions Into and Out of Taught Postgraduate Study

Pannullo, F., Lee, D., Neal, L., Dalvi, M., Agnew, P., O'Connor, F. M., Mukhopadhyay, S., Sahu, S., Sarran, C. (2017) Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England Environmental Health, 16, (doi: 10.1186/s12940-017-0237-1)

Rue, H., Riebler, A., Sørbye, S. H., Illian, J. B., Simpson, D. P., Lindgren, F. K. (2017) Bayesian computing with INLA: a review Annual Review of Statistics and Its Application, 4, pp. 395-421. (doi: 10.1146/annurev-statistics-060116-054045)

Gallacher, K., Miller, C., Scott, E.M., Willows, R., Pope, L., Douglass, J. (2017) Flow-directed PCA for monitoring networks Environmetrics, 28, (doi: 10.1002/env.2434)

Anderson, C., Ryan, L. (2017) A comparison of spatio-temporal disease mapping approaches including an application to ischaemic heart disease in New South Wales, Australia International Journal of Environmental Research and Public Health, 14, (doi: 10.3390/ijerph14020146)

Rushworth, A., Lee, D., Sarran, C. (2017) An adaptive spatio-temporal smoothing model for estimating trends and step changes in disease risk Journal of the Royal Statistical Society: Series C (Applied Statistics), 66, pp. 141-157. (doi: 10.1111/rssc.12155)

Anderson, C., Lee, D., Dean, N. (2017) Spatial clustering of average risks and risk trends in Bayesian disease mapping Biometrical Journal, 59, pp. 41-56. (doi: 10.1002/bimj.201600018)

Millar, K., Bowman, A. W. (2017) “Hartnell's time machine” reprise: Further implications of zinc, lead and copper in the thumbnail of a Franklin expedition crewmember Journal of Archaeological Science: Reports, 13, pp. 286-290. (doi: 10.1016/j.jasrep.2017.03.046)

Lawson, A., Lee, D. (2017) Bayesian disease mapping for public health Elsevier

Liu, Z., Macdonald, B., Husmeier, D., Giurghita, D. (2017) Estimating Parameters of Partial Differential Equations with Gradient Matching

Python, A., Illian, J., Jones-Todd, C., Blangiardo, M. (2017) Explaining the lethality of Boko Haram’s terrorist attacks in Nigeria, 2009–2014: a hierarchical Bayesian approach Springer

Noè, U., Chen, W. W., Filippone, M., Hill, N., Husmeier, D. (2017) Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation using Statistical Emulation (doi: 10.1007/978-3-319-67834-4_15)

McMillan, D., Browell, J. (2017) Optimisation of Wind Energy O&M Decision Making Under Uncertainty [Final Report]: Exploitation Plan

Niu, M., Rogers, S., Filippone, M., Husmeier, D. (2017) Parameter Inference in Differential Equation Models of Biopathways using Time Warped Gradient Matching (doi: 10.1007/978-3-319-67834-4_12)

Browell, J., Gilbert, C., McMillan, D. (2017) Use of Turbine-level Data for Improved Wind Power Forecasting (doi: 10.1109/PTC.2017.7981134)

2016

Ledo, A., Cornulier, T., Illian, J. B., Iida, Y., Kassim, A. R., Burslem, D. F. R. P. (2016) Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees Ecological Applications, 26, pp. 2376-2382. (doi: 10.1002/eap.1450)

Ventrucci, M., Cocchi, D., Scott, E. M. (2016) Smoothing of land use maps for trend and change detection in urbanization Evironmental and Ecological Statistics, 23, pp. 565-584. (doi: 10.1007/s10651-016-0354-y)

Dowell, J., Hawker, G., Bell, K., Gill, S. (2016) A Review of Probabilistic Methods for Defining Reserve Requirements (doi: 10.1109/PESGM.2016.7741361)

Ledo, A., Illian, J. B., Schnitzer, S. A., Wright, S. J., Dalling, J. W., Burslem, D. F. R. P., Zotz, G. (2016) Lianas and soil nutrients predict fine-scale distribution of above-ground biomass in a tropical moist forest Journal of Ecology, 104, pp. 1819-1828. (doi: 10.1111/1365-2745.12635)

Ferguson, E. A., Matthiopoulos, J., Insall, R. H., Husmeier, D. (2016) Inference of the drivers of collective movement in two cell types: Dictyostelium and melanoma Journal of the Royal Society: Interface, 13, (doi: 10.1098/rsif.2016.0695)

Lee, D., Lawson, A. (2016) Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow Annals of Applied Statistics, 10, pp. 1427-1446. (doi: 10.1214/16-AOAS941)

Sagitov, S., Lindo, A. (2016) A special family of Galton-Watson processes with explosions Springer

Minghella, E., Auckburally, A., Pawson, P., Scott, M. E., Flaherty, D. (2016) Clinical effects of midazolam or lidocaine co-induction with a propofol target-controlled infusion (TCI) in dogs Veterinary Anaesthesia and Analgesia, 43, pp. 472-481. (doi: 10.1111/vaa.12336)

Browell, J., Dinwoodie, I., McMillan, D. (2016) Forecasting for Day-ahead Offshore Maintenance Scheduling Under Uncertainty (doi: 10.1201/9781315374987-16)

Martyna, A., Zadora, G., Neocleous, T., Michalska, A., Dean, N. (2016) Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra Analytica Chimica Acta, 931, pp. 34-46. (doi: 10.1016/j.aca.2016.05.016)

Giurghita, D., Husmeier, D. (2016) Inference in Nonlinear Systems with Unscented Kalman Filters

Mavrogonatou, L., Vyshemirsky, V. (2016) Sequential Importance Sampling for Online Bayesian Changepoint Detection

Napier, G., Lee, D., Robertson, C., Lawson, A., Pollock, K. G. (2016) A model to estimate the impact of changes in MMR vaccine uptake on inequalities in measles susceptibility in Scotland Statistical Methods in Medical Research, 25, pp. 1185-1200. (doi: 10.1177/0962280216660420)

Lawson, A. B., Lee, D., MacNab, Y. (2016) Editorial Statistical Methods in Medical Research, 25, pp. 1079. (doi: 10.1177/0962280216660410)

Pannullo, F., Lee, D., Waclawski, E., Leyland, A. H. (2016) How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging Spatial and Spatio-Temporal Epidemiology, 18, pp. 53-62. (doi: 10.1016/j.sste.2016.04.001)

Huque, M. H., Anderson, C., Walton, R., Ryan, L. (2016) Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping International Journal of Health Geographics, 15, (doi: 10.1186/s12942-016-0055-7)

Ewing, D. A., Cobbold, C. A., Nunn, M. A., Purse, B. V., White, S. M. (2016) Modelling the effect of temperature on the seasonal population dynamics of temperate mosquitoes Journal of Theoretical Biology, 400, pp. 65-79. (doi: 10.1016/j.jtbi.2016.04.008)

Macdonald, B., Niu, M., Rogers, S., Filippone, M., Husmeier, D. (2016) Approximate parameter inference in systems biology using gradient matching: a comparative evaluation BioMedical Engineering OnLine, 15, (doi: 10.1186/s12938-016-0186-x)

Bessa, R. J., Dowell, J., Pinson, P. (2016) Renewable energy forecasting John Wiley and Sons Ltd

Millar, K., Bowman, A. W., Battersby, W., Welbury, R. R. (2016) The health of nine Royal Naval Arctic crews, 1848 to 1854: implications for the lost Franklin Expedition Polar Record, 52, pp. 423-441. (doi: 10.1017/S0032247416000176)

Browell, J. (2016) Forecasting Electricity Prices and Market Length for Trading Stochastic Generation in Markets With a Single-price Balancing Mechanism

Niu, M., Rogers, S., Filippone, M., Husmeier, D. (2016) Fast inference in nonlinear dynamical systems using gradient matching Proceedings of Machine Learning Research, 48, pp. 1699-1707.

Niu, M., Blackwell, P. G., Skarin, A. (2016) Modeling interdependent animal movement in continuous time Biometrics, 72, pp. 315-324. (doi: 10.1111/biom.12454)

Rolinski, O. J., McLaughlin, D., Birch, D. J.S., Vyshemirsky, V. (2016) Resolving environmental microheterogeneity and dielectric relaxation in fluorescence kinetics of protein Methods and Applications in Fluorescence, 4, (doi: 10.1088/2050-6120/4/2/024001)

Flynt, A., Dean, N. (2016) A survey of popular R packages for cluster analysis Journal of Educational and Behavioral Statistics, 41, pp. 205-225. (doi: 10.3102/1076998616631743)

Cai, X., Li, Z., Scott, E. M., Li, X., Tang, M. (2016) Short-term effects of atmospheric particulate matter on myocardial infarction: a cumulative meta-analysis Environmental Science and Pollution Research, 7, pp. 6139-6148. (doi: 10.1007/s11356-016-6186-3)

Aderhold, A., Smith, V. A., Husmeier, D. (2016) Biological network inference at multiple scales: from gene regulation to species interactions John Wiley & Sons

Elayouty, A., Scott, M., Miller, C., Waldron, S., Franco-Villoria, M. (2016) Challenges in modeling detailed and complex environmental data sets: a case study modeling the excess partial pressure of fluvial CO2 Evironmental and Ecological Statistics, 23, pp. 65-87. (doi: 10.1007/s10651-015-0329-4)

Simpson, D., Illian, J.B., Lindgren, F., Sørbye, S.H., Rue, H. (2016) Going off grid: computationally efficient inference for log-Gaussian Cox processes Biometrika, 103, pp. 49-70. (doi: 10.1093/biomet/asv064)

Soares, P. J., Trejaut, J. A., Rito, T., Cavadas, B., Hill, C., Eng, K. K., Mormina, M., Brandao, A., Fraser, R. M., Wang, T.-Y., Loo, J.-H., Snell, C., Ko, T.-M., Amorim, A., Pala, M., Macaulay, V., Bulbeck, D., Wilson, J. F., Gusmao, L., Pereira, L., Oppenheimer, S., Lin, M., Richards, M. B. (2016) Resolving the ancestry of Austronesian-speaking populations Human Genetics, 135, pp. 309-326. (doi: 10.1007/s00439-015-1620-z)

Katina, S., McNeil, K., Ayoub, A., Guilfoyle, B., Khambay, B., Siebert, J., Sukno, F., Rojas, M., Vittert, L., Waddington, J., Whelan, P. F., Bowman, A. (2016) The definitions of three-dimensional landmarks on the human face: an interdisciplinary view Journal of Anatomy, 228, pp. 355-365. (doi: 10.1111/joa.12407)

Dowell, J., Pinson, P. (2016) Very-short-term probabilistic wind power forecasts by sparse vector autoregression IEEE Transactions on Smart Grid, 7, pp. 763-770. (doi: 10.1109/TSG.2015.2424078)

Altieri, L., Cocchi, D., Greco, F., Illian, J.B., Scott, E.M. (2016) Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes Journal of Statistical Computation and Simulation, 86, pp. 2531-2545. (doi: 10.1080/00949655.2016.1146280)

Catterson, V.M., McMillan, D., Dinwoodie, I., Revie, M., Dowell, J., Quigley, J., Wilson, K. (2016) An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access Wind Energy, 19, pp. 199-212. (doi: 10.1002/we.1826)

Anderson, C., Lee, D., Dean, N. (2016) Bayesian cluster detection via adjacency modelling Spatial and Spatio-Temporal Epidemiology, 16, pp. 11-20. (doi: 10.1016/j.sste.2015.11.005)

Blackwell, P. G., Niu, M., Lambert, M. S., LaPoint, S. D., O'Hara, R. B. (2016) Exact Bayesian inference for animal movement in continuous time Methods in Ecology and Evolution, 7, pp. 184-195. (doi: 10.1111/2041-210X.12460)

Brown, C., Illian, J. B., Burslem, D. F. R. P., Sandhu, L. (2016) Success of spatial statistics in determining underlying process in simulated plant communities Journal of Ecology, 104, pp. 160-172. (doi: 10.1111/1365-2745.12493)

Lee, D., Sahu, S. (2016) Estimating the health impact of air pollution fields CRC

Chignola, R., Sega, M., Stella, S., Vyshemirsky, V., Milotti, E. (2016) From single-cell dynamics to scaling laws in oncology World Scientific

Reeve, R., Leinster, T., Cobbold, C. A., Thompson, J., Brummitt, N., Mitchell, S. N., Matthews, L. (2016) How to partition diversity arXiv,

Kavanagh, L., Lee, D., Pryce, G. (2016) Is poverty decentralizing? Quantifying uncertainty in the decentralization of urban poverty Annals of the American Association of Geographers, 106, pp. 1286-1298. (doi: 10.1080/24694452.2016.1213156)

Davies, V., Reeve, R., Harvey, W. T., Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability Springer

2015

Lindo, A., Sagitov, S. (2015) Asymptotic results for the number of Wagner’s solutions to a generalised birthday problem Statistics and Probability Letters, 107, pp. 356-361. (doi: 10.1016/j.spl.2015.09.014)

Cobbold, C. A., Lutscher, F., Sherratt, J. A. (2015) Diffusion-driven instabilities and emerging spatial patterns in patchy landscapes Ecological Complexity, 24, pp. 69-81. (doi: 10.1016/j.ecocom.2015.10.001)

Malvaldi, A., Dowell, J., Weiss, S., Infield, D. (2015) Wind Prediction Enhancement by Exploiting Data Non-stationarity (doi: 10.1049/cp.2015.1795)

Macdonald, B., Husmeier, D. (2015) Gradient matching methods for computational inference in mechanistic models for systems biology: a review and comparative analysis Frontiers in Bioengineering and Biotechnology, 3, (doi: 10.3389/fbioe.2015.00180)

Altieri, L., Scott, E. M., Cocchi, D., Illian, J. B. (2015) A changepoint analysis of spatio-temporal point processes Spatial Statistics, 14, pp. 197-207. (doi: 10.1016/j.spasta.2015.05.005)

Dunlop, K.M., Ruxton, G.D., Scott, E.M., Bailey, D.M. (2015) Absolute abundance estimates from shallow water baited underwater camera surveys; a stochastic modelling approach tested against field data Journal of Experimental Marine Biology and Ecology, 472, pp. 126-134. (doi: 10.1016/j.jembe.2015.07.010)

Lee, D., Sarran, C. (2015) Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies Environmetrics, 26, pp. 477-487. (doi: 10.1002/env.2348)

Fitzer, S. C., Vittert, L., Bowman, A., Kamenos, N. A., Phoenix, V. R., Cusack, M. (2015) Ocean acidification and temperature increase impacts mussel shell shape and thickness: problematic for protection? Ecology and Evolution, 5, pp. 4875-4884. (doi: 10.1002/ece3.1756)

Russell, N., Cook, G. T., Ascough, P. L., Scott, E. M. (2015) A period of calm in Scottish seas: a comprehensive study of ΔR values for the northern British Isles coast and the consequent implications for archaeology and oceanography Quaternary Geochronology, 30, pp. 34-41. (doi: 10.1016/j.quageo.2015.08.001)

Huang, G., Lee, D., Scott, M. (2015) An integrated Bayesian model for estimating the long-term health effects of air pollution by fusing modelled and measured pollution data: a case study of nitrogen dioxide concentrations in Scotland Spatial and Spatio-Temporal Epidemiology, 14-15, pp. 63-74. (doi: 10.1016/j.sste.2015.09.002)

Pannullo, F., Lee, D., Waclawski, E., Leyland, A. H. (2015) Improving spatial nitrogen dioxide prediction using diffusion tubes: a case study in West Central Scotland Atmospheric Environment, 118, pp. 227-235. (doi: 10.1016/j.atmosenv.2015.08.009)

Dunlop, K. M., Scott, E. M., Parsons, D., Bailey, D. M. (2015) Do agonistic behaviours bias baited remote underwater video surveys of fish? Marine Ecology, 36, pp. 810-818. (doi: 10.1111/maec.12185)

Evers, L., Molinari, D.A., Bowman, A.W., Jones, W.R., Spence, M.J. (2015) Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring Environmetrics, 26, pp. 431-441. (doi: 10.1002/env.2347)

Nightingale, G. F., Illian, J. B., King, R. (2015) Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty Journal of Environmental Statistics, 7,

Napier, G., Nobile, A., Neocleous, T. (2015) An online application for the classification and evidence evaluation of forensic glass fragments Chemometrics and Intelligent Laboratory Systems, 146, pp. 418-425. (doi: 10.1016/j.chemolab.2015.06.013)

Rolinski, O. J., Wellbrock, T., Birch, D. J.S., Vyshemirsky, V. (2015) Tyrosine photophysics during the early stages of β-amyloid aggregation leading to Alzheimer’s Journal of Physical Chemistry Letters, 6, pp. 3116-3120. (doi: 10.1021/acs.jpclett.5b01285)

Ponomarev, D., Miller, C., Govan, L., Haig, C., Wu, O., Langhorne, P. (2015) Complications following incident stroke resulting in readmissions: an analysis of data from three Scottish health surveys International Journal of Stroke, 10, pp. 911-917. (doi: 10.1111/ijs.12191)

Cobbold, C. A., Teng, J., Muldowney, J. S. (2015) The influence of host competition and predation on tick densities and management implications Theoretical Ecology, 8, pp. 349-368. (doi: 10.1007/s12080-015-0255-y)

Rushworth, A.M., Peterson, E.E., Ver Hoef, J.M., Bowman, A.W. (2015) Validation and comparison of geostatistical and spline models for spatial stream networks Environmetrics, 25, pp. 327-338. (doi: 10.1002/env.2340)

O'Donnell, R., Miller, C., Scott, E. (2015) Within Lake Clustering of High Resolution Satellite Retrievals: A Functional Data and Clustering Approach

Macdonald, B., Higham, C., Husmeier, D. (2015) Controversy in mechanistic modelling with Gaussian processes Proceedings of Machine Learning Research, 37, pp. 1539-1547.

Noè, U., Filippone, M., Husmeier, D. (2015) Emulation of ODEs with Gaussian Processes

Niu, M., Filippone, M., Husmeier, D., Rogers, S. (2015) Inference in Nonlinear Differential Equations

Grzegorczyk, M., Aderhold, A., Husmeier, D. (2015) Network Reconstruction with Realistic Models

Wilkie, C. J., Scott, E. M., Miller, C., Tyler, A. N., Hunter, P. D., Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling (doi: 10.1016/j.proenv.2015.05.014)

Gong, M., Miller, C., Scott, E. (2015) Functional PCA for Remotely Sensed Lake Surface Water Temperature Data (doi: 10.1016/j.proenv.2015.05.015)

Bowman, A. W., Katina, S., Smith, J., Brown, D. (2015) Anatomical curve identification Computational Statistics and Data Analysis, 86, pp. 52-64. (doi: 10.1016/j.csda.2014.12.007)

Millar, K., Bowman, A. W., Battersby, W. (2015) A re-analysis of the supposed role of lead poisoning in Sir John Franklin’s last expedition, 1845-1848 Polar Record, 51, pp. 224-238. (doi: 10.1017/S0032247413000867)

Mair, C., Matthews, L., Prada J. de Cisneros, J., Stefan, T., Stear, M. J. (2015) Multitrait indices to predict worm length and number in sheep with natural, mixed predominantly Teladorsagia circumcincta infection Parasitology, 142, pp. 773-782. (doi: 10.1017/S0031182014001905)

Hughes, J. S., Cobbold, C. A., Haynes, K., Dwyer, G. (2015) The effects of forest spatial structure on insect outbreak dynamics: insights from host-parasitoid models American Naturalist, 183, pp. E130-E152. (doi: 10.1086/680860)

Bagchi, R., Illian, J. B., Murrell, D. (2015) A method for analysing replicated point patterns in ecology Methods in Ecology and Evolution, 6, pp. 482-490. (doi: 10.1111/2041-210X.12335)

Cook, G.T., Ascough, P.L., Bonsall, C., Hamilton, W.D., Russell, N., Sayle, K.L., Scott, E.M., Bownes, J.M. (2015) Best practice methodology for 14C calibration of marine and mixed terrestrial/marine samples Quaternary Geochronology, 27, pp. 164-171. (doi: 10.1016/j.quageo.2015.02.024)

Macdonald, B., Husmeier, D. (2015) Computational inference in systems biology Springer

Grzegorczyk, M., Aderhold, A., Husmeier, D. (2015) Inferring bi-directional interactions between circadian clock genes and metabolism with model ensembles Statistical Applications in Genetics and Molecular Biology, 14, pp. 143-167. (doi: 10.1515/sagmb-2014-0041)

O'Donnell, R.A., Miller, C.A., Scott, E.M. (2015) Spatially weighted functional clustering of river network data Journal of the Royal Statistical Society: Series C (Applied Statistics), 64, pp. 491-506. (doi: 10.1111/rssc.12082)

Moser, C. B., Gupta, M., Archer, B. N., White, L. F. (2015) The impact of prior information on estimates of disease transmissibility using Bayesian tools PLoS ONE, 10, (doi: 10.1371/journal.pone.0118762)

Prasad, S., Katina, S., Hennessy, R. J., Murphy, K. C., Bowman, A. W., Waddington, J. L. (2015) Craniofacial dysmorphology in 22q11.2 deletion syndrome by 3D laser surface imaging and geometric morphometrics: illuminating the developmental relationship to risk for psychosis American Journal of Medical Genetics Part A, 167, pp. 529-536. (doi: 10.1002/ajmg.a.36893)

Finazzi, F., Haggarty, R., Miller, C., Scott, M., Fassò, A. (2015) A comparison of clustering approaches for the study of the temporal coherence of multiple time series Stochastic Environmental Research and Risk Assessment, 29, pp. 463-475. (doi: 10.1007/s00477-014-0931-2)

Napier, G., Neocleous, T., Nobile, A. (2015) A composite Bayesian hierarchical model of compositional data with zeros Journal of Chemometrics, 9, pp. 96-108. (doi: 10.1002/cem.2681)

Lee, D., Minton, J., Pryce, G. (2015) Bayesian inference for the dissimilarity index in the presence of spatial autocorrelation Spatial Statistics, 11, pp. 81-95. (doi: 10.1016/j.spasta.2014.12.001)

Jull, A.J.T., Scott, E.M., Bierman, P. (2015) The CRONUS-Earth inter-comparison for cosmogenic isotope analysis Quaternary Geochronology, 26, pp. 3-10. (doi: 10.1016/j.quageo.2013.09.003)

Mair, C., Stear, M., Johnson, P., Denwood, M., Jimenez de Cisneros, J. P., Stefan, T., Matthews, L. (2015) A Bayesian generalized random regression model for estimating heritability using overdispersed count data Genetics Selection Evolution, 47, (doi: 10.1186/s12711-015-0125-5)

Reid, J., Wiseman-Orr, M. L., Nolan, A., Scott, E. M. (2015) Health-related quality of life measurement Elsevier

Higham, C. F., Husmeier, D. (2015) Inference of circadian regulatory pathways based on delay differential equations Springer

Dowell, J., Weiss, S., Infield, D. (2015) Kernel Methods for Short-term Spatio-temporal Wind Prediction (doi: 10.1109/PESGM.2015.7285965)

Smith, E., Miller, C., McConway, K., Merrill, S., Opsomer, J., Zacks, S., Sloan, R., House, L. (2015) Statistics for the Curious: Why Study Statistics? Curious Academic Publishing

Heydtmann, M., Macdonald, B., Lewsey, J., Masson, N., Cunningham, L., Irnazarow, A., Nardone, A., Cosgrave, J., Chick, J. (2015) Tailored dose baclofen in patients with alcoholic liver disease: a case series with 2-year follow-up of hospitalisation Addiction Research and Theory, 23, pp. 510-517. (doi: 10.3109/16066359.2015.1040003)

2014

Calvo, G., Holden, E., Reid, J., Scott, E.M., Firth, A., Bell, A., Robertson, S., Nolan, A.M. (2014) Development of a behaviour-based measurement tool with defined intervention level for assessing acute pain in cats Journal of Small Animal Practice, 55, pp. 622-629. (doi: 10.1111/jsap.12280)

Holden, E., Calvo, G., Collins, M., Bell, A., Reid, J., Scott, E.M., Nolan, A.M. (2014) Evaluation of facial expression in acute pain in cats Journal of Small Animal Practice, 55, pp. 615-621. (doi: 10.1111/jsap.12283)

Rolinski, O. J., Vyshemirsky, V. (2014) Fluorescence kinetics of tryptophan in a heterogeneous environment Methods and Applications in Fluorescence, 2, (doi: 10.1088/2050-6120/2/4/045002)

Cheng, Y., Ray, S. (2014) Parallel and hierarchical mode association clustering with an R package Modalclust Open Journal of Statistics, 4, pp. 826-836. (doi: 10.4236/ojs.2014.410078)

Dowell, J., Weiss, S., Hill, D., Infield, D. (2014) Short-term spatio-temporal prediction of wind speed and direction Wind Energy, 17, pp. 1945-1955. (doi: 10.1002/we.1682)

Moodie, E. E.M., Dean, N., Sun, Y. R. (2014) Q-learning: flexible learning about useful utilities Statistics in Biosciences, 6, pp. 223-243. (doi: 10.1007/s12561-013-9103-z)

Prada Jimenez de Cisneros, J., Stear, M. J., Mair, C., Singleton, D., Stefan, T., Stear, A., Marion, G., Matthews, L. (2014) An explicit immunogenetic model of gastrointestinal nematode infection in sheep Journal of the Royal Society: Interface, 11, pp. 20140416-20140416. (doi: 10.1098/rsif.2014.0416)

Ventrucci, M., Bowman, A. W., Miller, C., Gross, J. (2014) Quasi-periodic spatiotemporal models of brain activation in single-trial MEG experiments Statistical Modelling, 14, pp. 417-437. (doi: 10.1177/1471082X14524673)

Mas, I., Elliott, A. (2014) Where's the Cash? The Geography of Cash Points in Tanzania

Malvaldi, A., Dowell, J., Weiss, S., Infield, D., Hill, D. (2014) Wind Prediction Enhancement by Supplementing Measurements with Numerical Weather Prediction Now-Casts

Lee, D., Minton, J., Pryce, G. (2014) Inference for segregation indices in the presence of spatial autocorrelation

Livingston, M., Lee, D. (2014) "The Glasgow effect?"– the result of the geographical patterning of deprived areas? Health and Place, 29, pp. 1-9. (doi: 10.1016/j.healthplace.2014.05.002)

Chignola, R., Sega, M., Stella, S., Vyshemirsky, V., Milotti, E. (2014) From single-cell dynamics to scaling laws in oncology Biophysical Reviews and Letters, 9, pp. 273-284. (doi: 10.1142/S1793048014300035)

Cheng, Y., Ray, S. (2014) Multivariate modality inference using Gaussian kernel Open Journal of Statistics, 4, pp. 419-434. (doi: 10.4236/ojs.2014.45041)

Rushworth, A., Lee, D., Mitchell, R. (2014) A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London Spatial and Spatio-Temporal Epidemiology, 10, pp. 29-38. (doi: 10.1016/j.sste.2014.05.001)

Anderson, C., Lee, D., Dean, N. (2014) Identifying clusters in Bayesian disease mapping Biostatistics, 15, pp. 457-469. (doi: 10.1093/biostatistics/kxu005)

McDonald, E., Watterson, A., Tyler, A. N., McArthur, J., Scott, E. M. (2014) Multi-factorial influences on sex ratio: a spatio-temporal investigation of endocrine disruptor pollution and neighborhood stress International Journal of Occupational and Environmental Health, 20, pp. 235-246. (doi: 10.1179/2049396714Y.0000000073)

Bell, A., Lo, T.-W. R., Brown, D., Bowman, A. W., Siebert, J. P., Simmons, D. R., Millett, D. T., Ayoub, A. F. (2014) Three-dimensional assessment of facial appearance following surgical repair of unilateral cleft lip and palate Cleft Palate: Craniofacial Journal, 51, pp. 462-471. (doi: 10.1597/12-140)

Elayouty, A., Scott, E., Miller, C., Waldron, S., Franco-Villoria, M. (2014) Visualisation and Modelling of Environmental Sensor Time Series

Bis, J. C., DeStefano, A., Liu, X., Brody, J. A., Choi, S. H., Verhaaren, B. F. J., Debette, S., Ikram, M. A., Shahar, E., Butler, K. R., Gottesman, R. F., Muzny, D., Kovar, C. L., Psaty, B. M., Hofman, A., Lumley, T., Gupta, M., Wolf, P. A., van Duijn, C., Gibbs, R. A., Mosley, T. H., Longstreth, W. T., Boerwinkle, E., Seshadri, S., Fornage, M. (2014) Associations of NINJ2 sequence variants with incident ischemic stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium PLoS ONE, 9, pp. e99798. (doi: 10.1371/journal.pone.0099798)

Lee, D., Rushworth, A., Sahu, S. K. (2014) A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution Biometrics, 70, pp. 419-429. (doi: 10.1111/biom.12156)

Powell, H., Lee, D. (2014) Modelling spatial variability in concentrations of single pollutants and composite air quality indicators in health effects studies Journal of the Royal Statistical Society: Series A (Statistics in Society), 177, pp. 607-623. (doi: 10.1111/rssa.12034)

Aderhold, A., Husmeier, D., Grzegorczyk, M. (2014) Statistical inference of regulatory networks for circadian regulation Statistical Applications in Genetics and Molecular Biology, 13, pp. 227-273. (doi: 10.1515/sagmb-2013-0051)

Lin, H., Wang, M., Brody, J. A., Bis, J. C., Dupuis, J., Lumley, T., McKnight, B., Rice, K. M., Sitlani, C. M., Reid, J. G., Bressler, J., Liu, X., Davis, B. C., Johnson, A. D., O'Donnell, C. J., Kovar, C. L., Dinh, H., Wu, Y., Newsham, I., Chen, H., Broka, A., DeStefano, A. L., Gupta, M., Lunetta, K. L., Liu, C.-T., White, C. C., Xing, C., Zhou, Y., Benjamin, E. J., Schnabel, R. B., Heckbert, S. R., Psaty, B. M., Muzny, D. M., Cupples, L. A., Morrison, A. C., Boerwinkle, E. (2014) Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium targeted sequencing study Circulation: Cardiovascular Genetics, 7, pp. 335-343. (doi: 10.1161/CIRCGENETICS.113.000350)

Eze, J.I., Scott, E.M., Pollock, K.G., Stidson, R., Miller, C.A., Lee, D. (2014) The association of weather and bathing water quality on the incidence of gastrointestinal illness in the west of Scotland Epidemiology and Infection, 142, pp. 1289-1299. (doi: 10.1017/S0950268813002148)

Prada Jiménez de Cisneros, J., Matthews, L., Mair, C., Stefan, T., Stear, M. J. (2014) The transfer of IgA from mucus to plasma and the implications for diagnosis and control of nematode infections Parasitology, 141, pp. 875-879. (doi: 10.1017/S0031182013002321)

Waldron, S., Scott, E. M., Vihermaa, L. E., Newton, J. (2014) Quantifying precision and accuracy of measurements of dissolved inorganic carbon stable isotopic composition using continuous-flow isotope-ratio mass spectrometry Rapid Communications in Mass Spectrometry, 28, pp. 1117-1126. (doi: 10.1002/rcm.6873)

Jones, W. R., Spence, M. J., Bowman, A. W., Evers, L., Molinari, D. A. (2014) A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data Environmental Modelling and Software, 55, pp. 242-249. (doi: 10.1016/j.envsoft.2014.01.020)

Milotti, E., Vyshemirsky, V., Sega, M., Chignola, R. (2014) Corrigendum: Interplay between distribution of live cells and growth dynamics of solid tumours Scientific Reports, 4, (doi: 10.1038/srep03387)

Morrison, S., Fordyce, F.M., Scott, E.M. (2014) An initial assessment of spatial relationships between respiratory cases, soil metal content, air quality and deprivation indicators in Glasgow, Scotland, UK: relevance to the environmental justice agenda Environmental Geochemistry and Health, 36, pp. 319-332. (doi: 10.1007/s10653-013-9565-4)

Grzegorczyk, M., Aderhold, A., Smith, V. A., Husmeier, D. (2014) Inference of circadian regulatory networks Copicentro Granada S.L

Davies, V., Reeve, R., Harvey, W., Maree, F., Husmeier, D. (2014) Sparse Bayesian variable selection for the identification of antigenic variability in the Foot-and-Mouth disease virus Proceedings of Machine Learning Research, 33, pp. 149-158.

Lindsay, B. G., Markatou, M., Ray, S. (2014) Kernels, degrees of freedom and power properties of quadratic distance goodness of fit tests Journal of the American Statistical Association, 109, pp. 395-410. (doi: 10.1080/01621459.2013.836972)

Gupta, M. (2014) An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices Computational Statistics and Data Analysis, 71, pp. 375- 391. (doi: 10.1016/j.csda.2013.07.006)

Lin, H., Sinner, M. F., Brody, J. A., Arking, D. E., Lunetta, K. L., Rienstra, M., Lubitz, S. A., Magnani, J. W., Sotoodehnia, N., McKnight, B., McManus, D. D., Boerwinkle, E., Psaty, B. M., Rotter, J. I., Bis, J. C., Gibbs, R. A., Muzny, D., Kovar, C. L., Morrison, A. C., Gupta, M., Folsom, A. R., Kääb, S., Heckbert, S. R., Alonso, A., Ellinor, P. T., Benjamin, E. J. (2014) Targeted sequencing in candidate genes for atrial fibrillation: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study Heart Rhythm, 11, pp. 452-457. (doi: 10.1016/j.hrthm.2013.11.012)

Cobbold, C. A., Lutscher, F. (2014) Mean occupancy time: linking mechanistic movement models, population dynamics and landscape ecology to population persistence Journal of Mathematical Biology, 68, pp. 549-579. (doi: 10.1007/s00285-013-0642-1)

Gjini, E. A., Haydon, D. T., Barry, J. D., Cobbold, C. A. (2014) Revisiting the diffusion approximation to estimate evolutionary rates of gene family diversification Journal of Theoretical Biology, 341, pp. 111-122. (doi: 10.1016/j.jtbi.2013.10.001)

Miller, C., Magdalina, A.-M., Willows, R., Bowman, A., Scott, E., Lee, D., Burgess, C., Pope, L., Pannullo, F., Haggarty, R. (2014) Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales Science of the Total Environment, 466-7, pp. 914-923. (doi: 10.1016/j.scitotenv.2013.07.113)

O'Donnell, D., Rushworth, A., Bowman, A. W., Scott, E.M., Hallard, M. (2014) Flexible regression models over river networks Journal of the Royal Statistical Society: Series C (Applied Statistics), 63, pp. 47-63. (doi: 10.1111/rssc.12024)

Altieri, L., Cocchi, D., Pezzi, G., Scott, E. M., Ventrucci, M. (2014) Urban sprawl scatterplots for urban morphological zones data Ecological Indicators, 36, pp. 315-323. (doi: 10.1016/j.ecolind.2013.07.011)

Dowell, J., Weiss, S., Infield, D., Chandna, S. (2014) A Widely Linear Multichannel Wiener Filter for Wind Prediction (doi: 10.1109/SSP.2014.6884567)

Bollen, K. A., Harden, J. J., Ray, S., Zavisca, J. (2014) BIC and alternative Bayesian information criteria in the selection of structural equation models Structural Equation Modeling: A Multidisciplinary Journal, 21, pp. 1-19. (doi: 10.1080/10705511.2014.856691)

Millar, K., Bowman, A.W., Burns, D., McLaughlin, P., Moores, T., Morton, N.S., Musiello, T., Wallace, E., Wray, A., Welbury, R.R. (2014) Children's cognitive recovery after day-case general anesthesia: a randomized trial of propofol or isoflurane for dental procedures Pediatric Anesthesia, 24, pp. 201-207. (doi: 10.1111/pan.12316)

Lee, D., Mitchell, R. (2014) Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies Statistical Methods in Medical Research, 23, pp. 488-506. (doi: 10.1177/0962280214527384)

Scott, E. M., Cocchi, D., Gemmell, J. C. (2014) Defining a fit for purpose statistically reliable sustainability indicator Sustainability Accounting, Management and Policy Journal, 5, pp. 262-267. (doi: 10.1108/SAMPJ-04-2014-0024)

Mitchell, R., Lee, D. (2014) Is there really a "wrong side of the tracks" in urban areas and does it matter for spatial analysis? Annals of the Association of American Geographers, 104, pp. 432-443. (doi: 10.1080/00045608.2014.892321)

Davies, V., Husmeier, D. (2014) Modelling transcriptional regulation with Gaussian processes Nova Science Publishers

Illian, J.B., Jones-Todd, C. (2014) Preventing Crime Through Spatial Modelling. (Scottish Institute of Policing Research) SIPR Annual report

Chanialidis, C., Evers, L., Neocleous, T., Nobile, A. (2014) Retrospective sampling in MCMC with an application to COM-Poisson regression Stat, 3, pp. 273-290. (doi: 10.1002/sta4.61)

Dowell, J., Weiss, S., Infield, D. (2014) Spatio-temporal Prediction of Wind Speed and Direction by Continuous Directional Regime (doi: 10.1109/PMAPS.2014.6960596)

Cheng, Y., Ray, S., Chang, M., Menon, S. (2014) Statistical monitoring of clinical trials with multiple co-primary endpoints using multivariate B-value Statistics in Biopharmaceutical Research, 6, pp. 241-250. (doi: 10.1080/19466315.2014.923324)

Bock, M., McColl, J. (2014) Using On-Line Quizzes to Help Students Learn Probability and Statistics

2013

Moran, E. V., Berwick, S., Cobbold, C. A. (2013) Effects of plant genotype and insect dispersal rate on the population dynamics of a forest pest Ecology, 94, pp. 2792-2802. (doi: 10.1890/12-1708.1)

Dowell, J., Weiss, S. (2013) Short-term Wind Prediction Using an Ensemble of Particle Swarm Optimised FIR Filters (doi: 10.1049/cp.2013.2065)

Lee, D. (2013) CARBayes: an R package for Bayesian spatial modeling with conditional autoregressive priors Journal of Statistical Software, 55, pp. 1-24.

Costa, M. D., Pereira, J. B., Pala, M., Fernandes, V., Olivieri, A., Achilli, A., Perego, U. A., Rychkov, S., Naumova, O., Hatina, J., Woodward, S. R., Eng, K. K., Macaulay, V., Carr, M., Soares, P., Pereira, L., Richards, M. B. (2013) A substantial prehistoric European ancestry amongst Ashkenazi maternal lineages Nature Communications, 4, (doi: 10.1038/ncomms3543)

Bowman, A.W., Crujeiras, R.M. (2013) Inference for variograms Computational Statistics and Data Analysis, 66, pp. 19-31. (doi: 10.1016/j.csda.2013.02.027)

Tyler, A.N., Dale, P., Copplestone, D., Bradley, S., Ewan, H., McGuire, C., Scott, E.M. (2013) The radium legacy: contaminated land and the committed effective dose from the ingestion of radium contaminated materials Environment International, 59, pp. 449-455. (doi: 10.1016/j.envint.2013.06.016)

Dowell, J., Weiss, S., Hill, D., Infield, D. (2013) A Cyclo-stationary Complex Multichannel Wiener Filter for the Prediction of Wind Speed and Direction

Dean, N., Nugent, R. (2013) Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas Advances in Data Analysis and Classification, 7, pp. 339-357. (doi: 10.1007/s11634-013-0149-z)

Newman, S., Deason, M., Pitsiladis, Y., Salas, A., Macaulay, V. (2013) The West African ethnicity of the enslaved in Jamaica Slavery and Abolition, 34, pp. 376-400. (doi: 10.1080/0144039X.2012.734054)

Martins, T. G., Simpson, D., Illian, J. B., Rue, H., Geirsson, Ó. P. (2013) invited discussion on Kneib, T, ‘Beyond mean regression’ Statistical Modelling, 13, pp. 355-361. (doi: 10.1177/1471082X13494527)

Higham, C., Husmeier, D. (2013) A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana BMC Bioinformatics, 14, pp. S3. (doi: 10.1186/1471-2105-14-S10-S3)

Lee, D., Mitchell, R. (2013) Locally adaptive spatial smoothing using conditional auto-regressive models Journal of the Royal Statistical Society: Series C (Applied Statistics), 62, pp. 593-608. (doi: 10.1111/rssc.12009)

Finazzi, F., Miller, C., Scott, E. (2013) A Model-Based Clustering Approach for the Analysis of Environmental Time Series

Mukherjee, K., Miller, C., Bowman, A., Thut, G. (2013) Characterisation and Mixed Effects Models for EEG Signals

Gallacher, K., Miller, C., Scott, E. (2013) Comparison of GAM, FDA and DFA for Water Quality Data

Reid, J., Scott, M., Wiseman-Orr, L., Nolan, A., Morris, J., Fontaine, S. (2013) Responsiveness of a 46 item health-related quality of life (HRQL) measurement instrument in dogs with lymphoma

Rushworth, A. M., Bowman, A. W., Brewer, M. J., Langan, S. J. (2013) Distributed lag models for hydrological data Biometrics, 69, pp. 537-544. (doi: 10.1111/biom.12008)

Scott, E.M., Flaherty, D., Currall, J. (2013) Statistics: using regression models Journal of Small Animal Practice, 54, pp. 285-290. (doi: 10.1111/jsap.12068)

Sun, B., Edgar, M.P., Bowman, R., Vittert, L.E., Welsh, S., Bowman, A., Padgett, M.J. (2013) 3D computational imaging with single-pixel detectors Science, 340, pp. 844-847. (doi: 10.1126/science.1234454)

Reid, J., Wiseman-Orr, M.L., Scott, E.M., Nolan, A.N. (2013) Development, validation and reliability of a web-based questionnaire to measure health-related quality of life in dogs Journal of Small Animal Practice, 54, pp. 227-233. (doi: 10.1111/jsap.12059)

Henseler, H., Smith, J., Bowman, A., Khambay, B.S., Ju, X., Ayoub, A., Ray, A.K. (2013) Subjective versus objective assessment of breast reconstruction Journal of Plastic, Reconstructive and Aesthetic Surgery, 66, pp. 634-639. (doi: 10.1016/j.bjps.2013.01.006)

Milotti, E., Vyshemirsky, V., Sega, M., Stella, S., Dogo, F., Chignola, R. (2013) Computer-aided biophysical modeling: a quantitative approach to complex biological systems IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10, pp. 805-810. (doi: 10.1109/TCBB.2013.35)

Grzegorczyk, M., Husmeier, D. (2013) Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models Machine Learning, 91, pp. 105-154. (doi: 10.1007/s10994-012-5326-3)

Finazzi, F., Scott, E.M., Fasso, A. (2013) A model based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data Journal of the Royal Statistical Society: Series C (Applied Statistics), 62, pp. 287-308. (doi: 10.1111/rssc.12001)

Soares, P., Abrantes, D., Rito, T., Thomson, N., Radivojac, P., Li, B., Macaulay, V., Samuels, D. C., Pereira, L. (2013) Evaluating purifying selection in the mitochondrial DNA of various mammalian species PLoS ONE, 8, (doi: 10.1371/journal.pone.0058993)

Millar, K., Bell, A., Bowman, A., Brown, ., Lo, T.-W., Siebert, J.P., Simmons, D., Ayoub, A. (2013) Psychological status as a function of residual scarring and facial asymmetry after surgical repair of cleft lip and palate Cleft Palate: Craniofacial Journal, 49, pp. 150-157. (doi: 10.1597/10-222)

Scott, E.M., Flaherty, D., Currall, J. (2013) Statistics: are we related? Journal of Small Animal Practice, 54, pp. 124-128. (doi: 10.1111/jsap.12029)

Dondelinger, F., Lèbre, S., Husmeier, D. (2013) Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure Machine Learning, 90, pp. 191-230. (doi: 10.1007/s10994-012-5311-x)

Studeny, A. C., Buckland, S. T., Harrison, P. J., Illian, J. B., Magurran, A. E., Newson, S. E., Elphick, C. (2013) Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds Journal of Applied Ecology, 50, pp. 190-198. (doi: 10.1111/1365-2664.12026)

Dowell, J., Weiss, S., Hill, D., Infield, D. (2013) Improved Spatial Modelling of Wind Fields

Gjini, E., Haydon, D.T., Barry, J.D., Cobbold, C.A. (2013) Linking the antigen archive structure to pathogen fitness in African trypanosomes Proceedings of the Royal Society of London Series B: Biological Sciences, 280, pp. 20122129-20122129. (doi: 10.1098/rspb.2012.2129)

Reid, J., Scott, M., Nolan, A., Wiseman-Orr, L. (2013) Pain assessment in animals In Practice, 35, pp. 51-56. (doi: 10.1136/inp.f631)

Scott, E. M., Gemmell, J. C. (2013) Water quality assessment and European water framework directive Wiley

O’Neil, M., Khambay, B., Bowman, A., Moos, K.F., Barbenel, J., Walker, F., Ayoub, A. (2013) Corrigendum to “Validation of a new method for building a three-dimensional physical model of the skull and dentition” [Br. J. Oral Maxillofac. Surg. 50 (2012) 49–54] British Journal of Oral and Maxillofacial Surgery, 51, pp. e15. (doi: 10.1016/j.bjoms.2012.01.017)

Reimer, P. J., Bard, E., Bayliss, A., Beck, J. W., Blackwell, P. G., Ramsey, C. B., Buck, C. E., Cheng, H., Edwards, R. L., Friedrich, M., Grootes, P. M., Guilderson, T. P., Haflidason, H., Hajdas, I., Hatté, C., Heaton, T. J., Hoffmann, D. L., Hogg, A. G., Hughen, K. A., Kaiser, K. F., Kromer, B., Manning, S. W., Niu, M., Reimer, R. W., Richards, D. A., Scott, E. M., Southon, J. R., Staff, R. A., Turney, C. S. M., van der Plicht, J. (2013) IntCal13 and Marine13 Radiocarbon Age Calibration Curves 0–50,000 Years cal BP Radiocarbon, 55, pp. 1869-1887. (doi: 10.2458/azu_js_rc.55.16947)

Scott, E.M., Flaherty, D., Currall, J. (2013) Statistics: dealing with categorical data Journal of Small Animal Practice, 54, pp. 3-8. (doi: 10.1111/j.1748-5827.2012.01298.x)

Amengual, M., Flaherty, D., Auckburally, A., Bell, A.M., Scott, E.M., Pawson, P. (2013) An evaluation of anaesthetic induction in healthy dogs using rapid intravenous injection of propofol or alfaxalone Veterinary Anaesthesia and Analgesia, 40, pp. 115-123. (doi: 10.1111/j.1467-2995.2012.00747.x)

Dowell, J., Zitrou, A., Walls, L., Bedford, T., Infield, D. (2013) Analysis of Wind and Wave Data to Assess Maintenance Access to Offshore Wind Farms

Davies, V., Husmeier, D. (2013) Assessing the impact of non-additive noise on modelling transcriptional regulation with Gaussian processes Gruppo Istituto Poligrafico Europeo SRL

Scott, E. M., Gemmell, J. C. (2013) Assessing, valuing and protecting our environment- is there a statistical challenge to be answered? Statistica, 73, pp. 23-37.

Aderhold, A., Husmeier, D., Smith, V.A., Millar, A.J., Grzegorczyk, M. (2013) Assessment of regression methods for inference of regulatory networks involved in circadian regulation Tampere International Center for Signal Processing

Scott, M., Miller, C., Finazzi, F., Haggarty, R. (2013) Coherency in space of lake and river temperature and water quality records

Gelfond, J.A., Ibrahim, J.G., Gupta, M., Cheng, M.-H., Cody, J.D. (2013) Differential expression analysis with global network adjustment BMC Bioinformatics, 14, (doi: 10.1186/1471-2105-14-258)

Chanialidis, C., Craigmile, P., Davies, V., Dean, N., Evers, L., Filiippone, M., Gupta, M., Ray, S., Rogers, S. (2013) Discussion of Henning and Liao: How to find an appropriate clustering for mixed type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C. 62, 309-369 (doi: 10.1111/j.1467-9876.2012.01066.x)

Shaddick, G., Lee, D., Wakefield, J. (2013) Ecological bias in studies of the short-term effects of air pollution on health International Journal of Applied Earth Observation and Geoinformation, 22, pp. 65-74. (doi: 10.1016/j.jag.2012.03.011)

Gemmell, J.C., Scott, E.M. (2013) Environmental regulation, sustainability and risk Sustainability Accounting, Management and Policy Journal, 4, pp. 120-144. (doi: 10.1108/SAMPJ-Jan-2012-0003)

Illian, J. B., Martino, S., Sørbye, S. H., Gallego-Fernández, J. B., Zunzunegui, M., Esquivias, M. P., Travis, J. M. J., Warton, D. (2013) Fitting complex ecological point process models with integrated nested Laplace approximation Methods in Ecology and Evolution, 4, pp. 305-315. (doi: 10.1111/2041-210x.12017)

Macdonald, B., Dondelinger, F., Husmeier, D. (2013) Inference in complex biological systems with Gaussian processes and parallel tempering Gruppo Istituto Poligrafico Europeo SRL

Henseler, H., Smith, J., Bowman, A., Khambay, B., Ju, X., Ayoub, A., Ray, A. (2013) Investigation into variation and errors of a three-dimensional breast imaging system using multiple stereo cameras Plastic and Reconstructive Surgery, 65, pp. e332-e337.

Milotti, E., Vyshemirsky, V., Sega, M., Stella, S., Chignola, R. (2013) Metabolic scaling in solid tumours Scientific Reports, 3, (doi: 10.1038/srep01938)

Brown, C., Burslem, D. F. R. P., Illian, J. B., Bao, L., Brockelman, W., Cao, M., Chang, L. W., Dattaraja, H. S., Davies, S., Gunatilleke, C. V. S., Gunatilleke, I. A. U. N., Huang, J., Kassim, A. R., LaFrankie, J. V., Lian, J., Lin, L., Ma, K., Mi, X., Nathalang, A., Noor, S., Ong, P., Sukumar, R., Su, S. H., Sun, I. F., Suresh, H. S., Tan, S., Thompson, J., Uriarte, M., Valencia, R., Yap, S. L., Ye, W., Law, R. (2013) Multispecies coexistence of trees in tropical forests: spatial signals of topographic niche differentiation increase with environmental heterogeneity Proceedings of the Royal Society of London Series B: Biological Sciences, 280, (doi: 10.1098/rspb.2013.0502)

Dondelinger, F., Filippone, M., Rogers, S., Husmeier, D. (2013) ODE parameter inference using adaptive gradient matching with Gaussian processes Proceedings of Machine Learning Research, 31, pp. 216-228.

Alexandrovich, G., Holzmann, H., Ray, S. (2013) On the number of modes of finite mixtures of elliptical distributions Springer International Publishing

Bryant, C.L., Cisneros-Dozal, M., Currie, M., Elliott, F., Freeman, S.P.H.T., Garnett, M.H., Gulliver, P., Moreton, S.G., Murray, C., Newton, J.A., Scott, E.M., Xu, S. (2013) Pre-Treatment Procedures and Quality Control at the NERC Radiocarbon Facility-East Kilbride

Stafford, R., Smith, V.A., Husmeier, D., Grima, T., Guinn, B.-A. (2013) Predicting ecological regime shift under climate change: new modelling techniques and potential of molecular-based approaches Current Zoology, 59, pp. 403-417.

Aderhold, A., Husmeier, D., Smith, V.A. (2013) Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes Proceedings of Machine Learning Research, 31, pp. 75-84.

Borthwick, Y., Paul, L., Sneddon, M., McAlpine, L., Miller, C. (2013) Reliability and validity of the figure-of-eight method of measuring hand size in patients with breast cancer-related lymphoedema European Journal of Cancer Care, (doi: 10.1111/ecc.12024)

2012

Milotti, E., Vyshemirsky, V., Sega, M., Chignola, R. (2012) Interplay between distribution of live cells and growth dynamics of solid tumours Scientific Reports, 2, (doi: 10.1038/srep00990)

King, R., Illian, J. B., King, S. E., Nightingale, G. F., Hendrichsen, D. K. (2012) A Bayesian approach to fitting Gibbs processes with temporal random effects Journal of Agricultural, Biological, and Environmental Statistics, 17, pp. 601-622. (doi: 10.1007/s13253-012-0111-0)

Rajala, T., Illian, J. (2012) A family of spatial biodiversity measures based on graphs Environmental and Ecological Statistics, 19, pp. 545-572. (doi: 10.1007/s10651-012-0200-9)

Haggarty, R.A., Miller, C.A., Scott, E.M., Wyllie, F., Smith, M. (2012) Functional clustering of water quality data in Scotland Environmetrics, 23, pp. 685-695. (doi: 10.1002/env.2185)

Buckland, B.T., Baillie, S.R., Dick, J.M., Elston, D.A., Magurran, A.E., Scott, E.M., Smith, R.I., Somerfield, P.J., Studeny, A.C., Watt, A. (2012) How should regional biodiversity be monitored? Evironmental and Ecological Statistics, 19, pp. 601-626. (doi: 10.1007/s10651-012-0202-7)

Miller, C., Bowman, A. (2012) Smooth principal components for investigating changes in covariances over time Journal of the Royal Statistical Society: Series C (Applied Statistics), 61, pp. 693-714. (doi: 10.1111/j.1467-9876.2012.01037.x)

Goodall, C., Bowman, A., Smith, I., Ayoub, A. (2012) A randomized trial of brief intervention strategies in patients with alcohol-related facial trauma as a result of interpersonal violence Addiction Science and Clinical Practice, 7, pp. A66-A66. (doi: 10.1186/1940-0640-7-S1-A66)

Aderhold, A., Husmeier, D., Lennon, J.J., Beale, C.M., Smith, V.A. (2012) Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data Ecological Informatics, 11, pp. 55-64. (doi: 10.1016/j.ecoinf.2012.05.002)

Henseler, H., Smith, J., Bowman, A., Khambay, B., Ju, X., Ayoub, A., Ray, A. (2012) Objective evaluation of the latissimus dorsi flap for breast reconstruction using three-dimensional imaging Journal of Plastic, Reconstructive and Aesthetic Surgery, 65, pp. 1209-1215. (doi: 10.1016/j.bjps.2012.03.043)

Gupta, M., Ray, S. (2012) Sequence pattern discovery with applications to understanding gene regulation and vaccine design Elsevier Press

Marbach, D., Costello, J.C., Küffner, R., Vega, N.M., Prill, R.J., Camacho, D.M., Allison, K.R., Aderhold, A., Allison, K.R., Bonneau, R., Camacho, D.M., Chen, Y., Collins, J.J., Cordero, F., Costello, J.C., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., de la Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A.-C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V.A., Irrthum, A., Kellis, M., Karlebach, G., Küffner, R., Lèbre, S., De Leo, V., Madar, A., Mani, S., Marbach, D., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C.S., Prill, R.J., Rezny, S., Ruskin, H.J., Saeys, Y., Shamir, R., Sîrbu, A., Song, M., Soranzo, N., Statnikov, A., Stolovitzky, G., Vega, N., Vera-Licona, P., Vert, J.-P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., Zimmer, R., Kellis, M., Collins, J.J., Stolovitzky, G. (2012) Wisdom of crowds for robust gene network inference Nature Methods, 9, pp. 796-804. (doi: 10.1038/nmeth.2016)

Sandercock, D.A., Monteiro, A., Scott, E.M., Nolan, A.M. (2012) The effect of tail-docking neonate piglets on ATF-3 and NR2B immunoreactivity in coccygeal dorsal root ganglia and spinal cord dorsal horn neurons: preliminary data Scandinavian Journal of Pain, 3, pp. 184-185. (doi: 10.1016/j.sjpain.2012.05.031)

Grzegorczyk, M., Husmeier, D. (2012) A non-homogeneous dynamic Bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biology Statistical Applications in Genetics and Molecular Biology, 11, pp. Art. 7. (doi: 10.1515/1544-6115.1761)

Molinari, D., Evers, L., Bowman, A. (2012) Smoothing Parameter Selection for Spatiotemporal Models with Application to the Analysis of Contaminants in Groundwater

Scott, E.M., Flaherty, D., Currall, J. (2012) Statistics: how many? Journal of Small Animal Practice, 53, pp. 372-376. (doi: 10.1111/j.1748-5827.2012.01231.x)

Dondelinger, F., Rogers, S., Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A., Husmeier, D. (2012) Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching

Grzegorczyk, M., Husmeier, D. (2012) Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters Proceedings of Machine Learning Research, 22, pp. 467-476.

German, A.J., Holden, S.L., Wiseman-Orr, M.L., Reid, J., Nolan, A.M., Biourge, V., Morris, P.J., Scott, E.M. (2012) Quality of life is reduced in obese dogs but improves after successful weight loss Veterinary Journal, 192, pp. 428-434. (doi: 10.1016/j.tvjl.2011.09.015)

Ji, R., Husmeier, D. (2012) Warped Gaussian process modelling of transcriptional regulation

Pala, M., Olivieri, A., Achilli, A., Accetturo, M., Metspalu, E., Karmin, M., Reisberg, T., Kashani, B.H., Perego, U.A., Carossa, V., Gandini, F., Pereira, J.B., Soares, P., Angerhofer, N., Rychkov, S., Al-Zahery, N., Carelli, V., Sanati, M.H., Houshmand, M., Hatina, J., Macaulay, V., Pereira, L., Woodward, S.R., Davies, W., Gamble, C., Baird, D., Semino, O., Villems, R., Torroni, A., Richards, M.B. (2012) Mitochondrial DNA signals of late glacial recolonization of Europe from near eastern refugia American Journal of Human Genetics, 90, pp. 915-924. (doi: 10.1016/j.ajhg.2012.04.003)

Powell, H., Lee, D., Bowman, A. (2012) Estimating constrained concentration-response functions between air pollution and health Environmetrics, 23, pp. 228-237. (doi: 10.1002/env.1150)

Scott, E.M., Gemmell, J.C. (2012) Spatial statistics: a watery business Spatial Statistics, 1, pp. 121-132. (doi: 10.1016/j.spasta.2012.03.004)

DEASON, M., Scott, R., Irwin, L., Macaulay, V., Irving, R., Charlton, V., Morrison, E., Austin, K., Pitsiladis, Y.P. (2012) Importance of mitochondrial haplotypes and maternal lineage in sprint performance among individuals of West African ancestry Scandinavian Journal of Medicine and Science in Sports, 22, pp. 217-223. (doi: 10.1111/j.1600-0838.2010.01289.x)

Embling, C. B., Illian, J., Armstrong, E., van der Kooij, J., Sharples, J., Camphuysen, K. C.J., Scott, B. E. (2012) Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach Journal of Applied Ecology, 49, pp. 481-492. (doi: 10.1111/j.1365-2664.2012.02114.x)

Leinster, T., Cobbold, C. (2012) Measuring diversity: the importance of species similarity Ecology, 93, pp. 477-489. (doi: 10.1890/10-2402.1)

Macaulay, V., The Functional Phylogenies Group, . (2012) Phylogenetic inference for function-valued traits: speech sound evolution Trends in Ecology and Evolution, 27, pp. 160-166. (doi: 10.1016/j.tree.2011.10.001)

Dondelinger, F., Husmeier, D., Lebre, S. (2012) Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series Euphytica, 183, pp. 361-377. (doi: 10.1007/s10681-011-0538-3)

Carvalho, L., Miller, C., Spears, B.M., Gunn, I.D.M., Bennion, H., Kirika, A., May, L. (2012) Water quality of Loch Leven: responses to enrichment, restoration and climate change Hydrobiologia, 681, pp. 35-47. (doi: 10.1007/s10750-011-0923-x)

Moser, C., Gupta, M. (2012) A generalized hidden Markov model for determining sequence-based predictors of nucleosome positioning Statistical Applications in Genetics and Molecular Biology, 11, pp. Art. 2.

Scott, E.M., Flaherty, D., Currall, J. (2012) Statistics: more than pictures Journal of Small Animal Practice, 53, pp. 12-18. (doi: 10.1111/j.1748-5827.2011.01168.x)

Mukherjee, K., Miller, C., Bowman, A., Thut, G. (2012) A Flexible Regression Framework for TMS-EEG Signals

Bollen, K.A., Ray, S., Zavisca, J., Harden, J.J. (2012) A comparison of Bayes factor approximation methods including two new methods Sociological Methods and Research, 41, pp. 294-324. (doi: 10.1177/0049124112452393)

Hendricks, A.E., Dupuis, J., Gupta, M., Logue, M.W., Lunetta, K.L. (2012) A comparison of gene region simulation methods PLoS ONE, 7, pp. e40925. (doi: 10.1371/journal.pone.0040925)

Ray, S., Pyne, S. (2012) A computational framework to emulate the human perspective in flow cytometric data analysis PLoS ONE, 7, pp. e35693. (doi: 10.1371/journal.pone.0035693)

Illian, J. B., Sørbye, S. H., Rue, H. (2012) A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) Annals of Applied Statistics, 6, pp. 1499-1530. (doi: 10.1214/11-AOAS530)

Lee, D., Mitchell, R. (2012) Boundary detection in disease mapping studies Biostatistics, 13, pp. 415-426. (doi: 10.1093/biostatistics/kxr036)

Willocks, L., Bhaskar, A., Ramsay, C., Lee, D., Brewster, D., Fischbacher, C., Chalmers, J., Morris, G., Scott, E.M. (2012) Cardiovascular disease and air pollution in Scotland: no association or insufficient data and study design? BMC Public Health, 12, pp. 227. (doi: 10.1186/1471-2458-12-227)

Liu, C., Ray, S., Hooker, G., Friedl, M. (2012) Functional factor analysis for periodic remote sensing data Annals of Applied Statistics, 6, pp. 601-624. (doi: 10.1214/11-AOAS518)

Gemmell, J. C., Scott, E. M. (2012) Guest Editorial Risk Management, 14, pp. 1-2. (doi: 10.1057/rm.2011.20)

Higham, C.F., Morales, F., Cobbold, C.A., Haydon, D.T., Monckton, D.G. (2012) High levels of somatic DNA diversity at the myotonic dystrophy type 1 locus are driven by ultra-frequent expansion and contraction mutations Human Molecular Genetics, 21, pp. 2450-2463. (doi: 10.1093/hmg/dds059)

Scott, E.M. (2012) Increasing population and the environment: how do the numbers stack up? Significance, 9, pp. 8-12. (doi: 10.1111/j.1740-9713.2012.00536.x)

DEASON, M., Salas, A., Newman, S.P., Macaulay, V.A., Morrison, E.Y., Pitsiladis, Y.P. (2012) Interdisciplinary approach to the demography of Jamaica BMC Evolutionary Biology, 12, (doi: 10.1186/1471-2148-12-24)

Lee, D., Mitchell, R. (2012) Localised spatial smoothing in Bayesian disease mapping

Lebre, S., Dondelinger, F., Husmeier, D. (2012) Nonhomogeneous dynamic Bayesian networks in systems biology Humana Press

Ray, S., Ren, D. (2012) On the upper bound of the number of modes of a multivariate normal mixture Journal of Multivariate Analysis, 108, pp. 41 - 52. (doi: 10.1016/j.jmva.2012.02.006)

Franco Villoria, M., Scott, E.M., Hoey, T., Fischbacher-Smith, D. (2012) Temporal investigation of flow variability in Scottish rivers using wavelet analysis Journal of Environmental Statistics, 3,

Gjini, E., Haydon, D.T., Barry, J.D., Cobbold, C.A. (2012) The impact of mutation and gene conversion on the local diversification of antigen genes in African trypanosomes Molecular Biology and Evolution, 29, pp. 3321-3331. (doi: 10.1093/molbev/mss166)

Illian, J. B., Sørbye, S. H., Rue, H., Hendrichsen, D. K. (2012) Using INLA to fit a complex point process model with temporally varying effects - a case study Journal of Environmental Statistics, 3,

Lee, D. (2012) Using spline models to estimate the varying health risks from air pollution across Scotland Statistics in Medicine, 31, pp. 3366-3378. (doi: 10.1002/sim.5420)

2011

Carvalho, L., Miller, C.A., Scott, E.M., Codd, G.A., Davis, P.S., Tyler, A.N. (2011) Cyanobacterial blooms: statistical models describing risk factors for national-scale lake assessment and lake management Science of the Total Environment, 409, pp. 5353-5358.

Neocleous, T., Aitken, C., Zadora, G. (2011) Transformations for compositional data with zeros with an application to forensic evidence evaluation Chemometrics and Intelligent Laboratory Systems, 109, pp. 77-85. (doi: 10.1016/j.chemolab.2011.08.003)

MacKinnon, G., MacKenzie, A.B., Cook, G.T., Pulford, I.D., Duncan, H.J., Scott, E.M. (2011) Spatial and temporal variations in Pb concentrations and isotopic composition in road dust, farmland soil and vegetation in proximity to roads since cessation of use of leaded petrol in the UK Science of the Total Environment, 409, pp. 5010-5019. (doi: 10.1016/j.scitotenv.2011.08.010)

Brown, C., Law, R., Illian, J. B., Burslem, D. F.R.P. (2011) Linking ecological processes with spatial and non-spatial patterns in plant communities Journal of Ecology, 99, pp. 1402-1414. (doi: 10.1111/j.1365-2745.2011.01877.x)

Scott, E.M., Flaherty, D., Currall, J. (2011) Statistics: making sense of what we see Journal of Small Animal Practice, 52, pp. 560-565. (doi: 10.1111/j.1748-5827.2011.01134.x)

Ventrucci, M., Miller, C., Gross, J., Schoffelen, J.-M., Bowman, A. (2011) Spatiotemporal smoothing of single trial MEG data Journal of Neuroscience Methods, 200, pp. 219-228. (doi: 10.1016/j.jneumeth.2011.06.004)

Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., Newson, S. E. (2011) The geometric mean of relative abundance indices: a biodiversity measure with a difference Ecosphere, 2, (doi: 10.1890/ES11-00186.1)

Scott, E.M., Flaherty, D., Currall, J. (2011) A statistics primer Journal of Small Animal Practice, 52, pp. 456-458. (doi: 10.1111/j.1748-5827.2011.01108.x)

Cocchi, D., Scott, E.M. (2011) Editorial Environmetrics, 22, pp. 699. (doi: 10.1002/env.1119)

Ayoub, A., Garrahy, A., Millett, D., Bowman, A., Siebert, J.P., Miller, J., Ray, A. (2011) Three-Dimensional Assessment of Early Surgical Outcome in Repaired Unilateral Cleft Lip and Palate: Part 1. Nasal changes Cleft Palate: Craniofacial Journal, 48, pp. 571-577. (doi: 10.1597/09-147)

Ayoub, A., Garrahy, A., Millett, D., Bowman, A., Siebert, J.P., Miller, J., Ray, A. (2011) Three-dimensional assessment of early surgical outcome in repaired unilateral cleft lip and palate: Part 2. Lip changes Cleft Palate: Craniofacial Journal, 48, pp. 578-583. (doi: 10.1597/09-148)

Illian, J.B., Simpson, D.P. (2011) invited discussion on Lindgren, Rue, Lindström, An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach, Journal of the Royal Statistical Society, Series B 73(4):423-498 Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73, pp. 423-498.

Smith, R.I., Dick, J.M., Scott, E.M. (2011) The role of statistics in the analysis of ecosystem services Environmetrics, 22, pp. 608-617. (doi: 10.1002/env.1107)

Chignola, R., Vyshemirsky, V., Farina, M., Del Fabbro, A., Milotti, E. (2011) Modular model of TNFα cytotoxicity Bioinformatics, 27, pp. 1754-1757. (doi: 10.1093/bioinformatics/btr297)

Ayoub, A., Bell, A., Simmons, D., Bowman, A., Brown, D., Lo, T.-W., Xiao, Y. (2011) 3D assessment of lip scarring and residual dysmorphology following surgical repair of cleft lip and palate: a preliminary study Cleft Palate: Craniofacial Journal, 48, pp. 379-387. (doi: 10.1597/10-057)

Dondelinger, F., Aderhold, A., Lebre, S., Grzegorczyk, M., Husmeier, D. (2011) A Bayesian regression and multiple changepoint model for systems biology Copiformes S.L.

Flaherty, D., Scott, E.M., Currall, J. (2011) Do clinicians really need to understand statistics? Journal of Small Animal Practice, 52, pp. 279-280. (doi: 10.1111/j.1748-5827.2011.01080.x)

Giannitrapani, M., Bowman, A., Scott, E.M. (2011) Additive models for sulphur dioxide pollution in Europe Wiley

Husmeier, D. (2011) Contribution to the discussion on Riemann manifold Hamiltonian Monte Carlo methods Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73, pp. 184-185. (doi: 10.1111/j.1467-9868.2010.00765.x)

Soares, P., Rito, T., Trejaut, J., Mormina, M., Hill, C., Tinkler-Hundal, E., Braid, M., Clarke, D.J., Loo, J.-H., Thomson, N., Denham, T., Donohoe, M., Macaulay, V., Lin, M., Oppenheimer, S., Richards, M.B. (2011) Ancient voyaging and Polynesian origins American Journal of Human Genetics, 88, pp. 239-247. (doi: 10.1016/j.ajhg.2011.01.009)

Studeny, A.C., Buckland, S.T., Illian, J.B., Johnston, A., Magurran, A.E. (2011) Goodness-of-fit measures of evenness: a new tool for exploring changes in community structure Ecosphere, 2, (doi: 10.1890/ES10-00074.1)

Lee, D., Ferguson, C., Scott, E.M. (2011) Constructing representative air quality indicators with measures of uncertainty Journal of the Royal Statistical Society: Series A (Statistics in Society), 174, pp. 109-126. (doi: 10.1111/j.1467-985X.2010.00658.x)

Ventrucci, M., Scott, E.M., Cocchi, D. (2011) Multiple testing on standardized mortality ratios: a Bayesian hierarchical model for FDR estimation Biostatistics, 12, pp. 51-67. (doi: 10.1093/biostatistics/kxq040)

Bell, A.M., Auckburally, A., Pawson, P., Scott, E.M., Flaherty, D. (2011) Two doses of dexmedetomidine in combination with buprenorphine for premedication in dogs; a comparison with acepromazine and buprenorphine Veterinary Anaesthesia and Analgesia, 38, pp. 15-23. (doi: 10.1111/j.1467-2995.2010.00576.x)

Lee, D. (2011) A comparison of conditional autoregressive models used in Bayesian disease mapping Spatial and Spatio-Temporal Epidemiology, 2, pp. 79-89. (doi: 10.1016/j.sste.2011.03.001)

Mitra, R., Gupta, M. (2011) A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNA. Biostatistics, 12, pp. 462-477. (doi: 10.1093/biostatistics/kxq077)

Ventrucci, M., Bowman, A., Miller, C., Gross, J., Ghosh, K. (2011) A dipole model for MEG data

Husmeier, D., Werhli, A.V., Grzegorczyk, M. (2011) Advanced applications of Bayesian networks in systems biology Wiley

Dean, N., Nugent, R. (2011) Comparing different clustering models on the unit hypercube

DeLuca, D.S., Marina, O., Ray, S., Zhang, G.L., Wu, C.J., Brusic, V. (2011) Data processing and analysis for protein microarrays Methods in Molecular Biology, 723, pp. 337-347. (doi: 10.1007/978-1-61779-043-0_21)

Wiseman-Orr, M.L., Scott, E.M., Nolan, A.M. (2011) Development and testing of a novel instrument to measure health-related quality of life (HRQL) of farmed pigs and promote welfare enhancement (part 1) Animal Welfare, 20, pp. 535-548.

Wiseman-Orr, M.L., Scott, E.M., Nolan, A.M. (2011) Development and testing of a novel instrument to measure health-related quality of life (HRQL) of farmed pigs and promote welfare enhancement (part 2) Animal Welfare, 20, pp. 549-558.

Scott, E. M., Gemmell, J. C. (2011) Discussion on the Paper by Spiegelhalter, Sherlaw-Johnson, Bardsley, Blunt, Wood and Grigg Journal of the Royal Statistical Society: Series A (Statistics in Society), 175, pp. 41. (doi: 10.1111/j.1467-985X.2011.01010.x)

Dick, J.M., Smith, R.I., Scott, E.M. (2011) Ecosystem services and associated concepts Environmetrics, 22, pp. 598-607. (doi: 10.1002/env.1085)

Cobbold, C.A., Powell, J.A. (2011) Evolution stabilises the synchronising dynamics of poikilotherm life cylces Bulletin of Mathematical Biology, 73, pp. 1052-1081. (doi: 10.1007/s11538-010-9552-1)

Russell, N., Cook, G., Ascough, P., Scott, E.M., Dugmore, A.J. (2011) Examining the inherent variability in ΔR: New methods of presenting ΔR values and implications for MRE studies Radiocarbon, 53, pp. 277-288.

Haggarty, R., Miller, C., Scott, E.M., Smith, M., Wyllie, F. (2011) Functional clustering of water quality data in Scotland

Gemmell, J. C., Scott, E. M. (2011) Guest Editorial Risk Management, 13, pp. 181-183. (doi: 10.1057/rm.2011.10)

Gupta, M., Cheung, C.-L., Hsu, Y.-H., Demissie, S., Cupples, L.A., Kiel, D.P., Karasik, D. (2011) Identification of homogeneous genetic architecture of multiple genetically correlated traits by block clustering of genome-wide associations Journal of Bone and Mineral Research, 26, pp. 1261-1271. (doi: 10.1002/jbmr.333)

Grzegorczyk, M., Husmeier, D. (2011) Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes Bioinformatics, 27, pp. 693-699. (doi: 10.1093/bioinformatics/btq711)

Grzegorczyk, M., Husmeier, D., Rahnenführer, J. (2011) Modelling non-stationary dynamic gene regulatory processes with the BGM model Computational Statistics, 26, pp. 199-218. (doi: 10.1007/s00180-010-0201-9)

Scott, E.M. (2011) Models, data, statistics, and outliers — a statistical revolution in archaeology and 14C dating Radiocarbon, 53, pp. 1-4.

Grzegorczyk, M., Husmeier, D. (2011) Non-homogeneous dynamic Bayesian networks for continuous data Machine Learning, 83, pp. 355-419. (doi: 10.1007/s10994-010-5230-7)

Hackett-Jones, E., White, A., Cobbold, C.A. (2011) The evolution of developmental timing in natural enemy systems Journal of Theoretical Biology, 275, pp. 1-11. (doi: 10.1016/j.jtbi.2010.12.040)

Sandercock, D.A., Gibson, I.F., Rutherford, K.M.D., Donald, R.D., Lawrence, A.B., Brash, H.M., Scott, E.M., Nolan, A.M. (2011) The impact of prenatal stress on basal nociception and evoked responses to tail-docking and inflammatory challenge in juvenile pigs Physiology and Behavior, 104, pp. 728-737. (doi: 10.1016/j.physbeh.2011.07.018)

Shi, P., Ray, S., Zhu, Q., Kon, M.A. (2011) Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction BMC Bioinformatics, 12, pp. 375-375. (doi: 10.1186/1471-2105-12-375)

2010

Lee, D., Shaddick, G. (2010) Spatial modeling of air pollution in studies of its short-term health effects Biometrics, 66, pp. 1238-1246. (doi: 10.1111/j.1541-0420.2009.01376.x)

Salway, R., Lee, D., Shaddick, G., Walker, S. (2010) Bayesian latent variable modelling in studies of air pollution and health Statistics in Medicine, 29, pp. 2732-2742. (doi: 10.1002/sim.4039)

Lee, D., Neocleous, T. (2010) Bayesian quantile regression for count data with application to environmental epidemiology Journal of the Royal Statistical Society: Series C (Applied Statistics), 59, pp. 905-920. (doi: 10.1111/j.1467-9876.2010.00725.x)

Ray, S. (2010) Discussion of "Projection pursuit via white noise matrices" by G. Hui and B. Lindsay Sankhya B, 72, pp. 147-151. (doi: 10.1007/s13571-011-0008-x)

Bowman, A.W., Gibson, I., Scott, E.M., Crawford, E. (2010) Interactive teaching tools for spatial sampling Journal of Statistical Software, 36,

Lee, D., Orr, A., Pryce, G. (2010) Risk pricing on residential mortgages in the UK

Bowman, A. (2010) Smoothing techniques Springer-Verlag

Naysmith, P., Cook, G., Freeman, S.P.H.T., Scott, E.M., Anderson, R., Xu, S., Dunbar, E., Muir, G.K.P., Dougans, A., Wilcken, K., Schnabel, C., Russell, N., Ascough, P.L., Maden, C. (2010) 14C AMS at SUERC: improving QA data from the 5 MV tandem AMS and 250 kV SSAMS Radiocarbon, 52, pp. 263-271. (doi: 10.1017/S003382220004529X)

Scott, E.M., Cook, G., Naysmith, P. (2010) A report on phase 2 of the Fifth International Radiocarbon Inter-Comparison (VIRI)

Gulliver, P., Waldron, S., Scott, E.M., Bryant, C. (2010) The effect of storage on the radiocarbon, stable carbon and nitrogen isotopic signatures and concentrations of riverine DOM Radiocarbon, 52, pp. 1113-1122.

Zadora, G., Neocleous, T. (2010) Evidential value of physicochemical data-comparison of methods of glass database creation Journal of Chemometrics, 24, pp. 367-378. (doi: 10.1002/cem.1276)

Dondelinger, F., Lebre, S., Husmeier, D. (2010) Heterogeneous continuous dynamic Bayesian networks with flexible structure and inter-time segment information sharing Omnipress

Meltzer, M., Long, K., Nie, Y., Gupta, M., Yang, J., Montano, M. (2010) The RNA editor gene ADAR1 is induced in myoblasts by inflammatory ligands and buffers stress response Clinical and Translational Science, 3, pp. 73-80. (doi: 10.1111/j.1752-8062.2010.00199.x)

Dowlman, E. A., Martin, N. C., Foy, M. J., Lochner, T., Neocleous, T. (2010) The prevalence of mixed DNA profiles on fingernail swabs Science and Justice, 50, pp. 64-71. (doi: 10.1016/j.scijus.2009.03.005)

Illian, J. B., Hendrichsen, D. K. (2010) Gibbs point process models with mixed effects Environmetrics, 21, pp. 341-353. (doi: 10.1002/env.1008)

Marchington, D., Malik, S., Banerjee, A., Turner, K., Samuels, D., Macaulay, V., Oakeshott, P., Fratter, C., Kennedy, S., Poulton, J. (2010) Information for genetic management of mtDNA disease: sampling pathogenic mtDNA mutants in the human germline and in placenta Journal of Medical Genetics, 47, pp. 257-261. (doi: 10.1136/jmg.2009.072900)

Cruciani, F., Trombetta, B., Macaulay, V., Scozzari, R. (2010) About the X-to-Y Gene Conversion Rate American Journal of Human Genetics, 86, pp. 495-497. (doi: 10.1016/j.ajhg.2010.01.033)

Illian, J. (2010) invited discussion on Diggle, Menezes, Su, Geostatistical inference under preferential sampling, Journal of the Royal Statistical Society, Series C (Applied Statistics), 5, 213-214 Journal of the Royal Statistical Society: Series C (Applied Statistics), 59, pp. 191-232.

Soares, P., Achilli, A., Semino, O., Davies, W., Macaulay, V., Bandelt, H.-J., Torroni, A., Richards, M.B. (2010) The archaeogenetics of Europe Current Biology, 220, pp. R174-R183. (doi: 10.1016/j.cub.2009.11.054)

Haggarty, R. A., Ferguson, C. A., Scott, E. M., Iroegbu, C., Stidson, R. (2010) Extreme value theory applied to the definition of bathing water quality discounting limits Water Research, 44, pp. 719-728. (doi: 10.1016/j.watres.2009.10.007)

Dean, N., Raftery, A. E. (2010) Latent class analysis variable selection Annals of the Institute of Statistical Mathematics, 62, pp. 11-35. (doi: 10.1007/s10463-009-0258-9)

Scott, E. M., Bowman, A., Ferguson, C., Lee, D., O’Donnell, D., Villoria, M. F., Gemmell, J. C. (2010) A Statistical Framework for an Evidence Base to Support Environmental Regulation and Policy

Zadora, G., Neocleous, T., Aitken, C. (2010) A Two-Level Model for Evidence Evaluation in the Presence of Zeros Journal of Forensic Sciences, 55, pp. 371-384. (doi: 10.1111/j.1556-4029.2009.01316.x)

Scott, E.M., Cook, G.T., Naysmith, P. (2010) A report on phase 2 of the Fifth International Radiocarbon Intercomparison (VIRI) Radiocarbon, 52, pp. 846-858.

Gjini, E., Haydon, D., Barry, J., Cobbold, C. (2010) Critical interplay between parasite differentiation, host immunity and antigenic variation in trypanosome infections American Naturalist, 176, pp. 424-439. (doi: 10.1086/656276)

Anderson, C., Lee, D., Pryce, G., Taal, M. (2010) Factors affecting environmental attitudes and volunteering in England and Wales Working Paper,

Xu, T., Vyshemirsky, V., Gormand, A., von Kriegsheim, A., Girolami, M., Baillie, G.S., Ketley, D., Dunlop, A.J., Milligan, G., Houslay, M.D., Kolch, W. (2010) Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species Science Signaling, 3, pp. ra20. (doi: 10.1126/scisignal.2000517)

Faisal, A., Dondelinger, F., Husmeier, D., Beale, C.M. (2010) Inferring species interaction networks from species abundance data: a comparative evaluation of various statistical and machine learning methods Ecological Informatics, 5, pp. 451-464. (doi: 10.1016/j.ecoinf.2010.06.005)

Husmeier, D., Dondelinger, F., Lebre, S. (2010) Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks Curran Associates

Magurran, A.E., Baillie, S.R., Buckland, S.T., Dick, J.M., Elston, D.A., Scott, E.M., Smith, R.I., Somerfield, P.J., Watt, A.D. (2010) Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time Trends in Ecology and Evolution, 25, pp. 574-582. (doi: 10.1016/j.tree.2010.06.016)

Lin, K., Husmeier, D. (2010) Mixtures of factor analyzers for modeling transcriptional regulation MIT Press

Grzegorcyzk, M., Husmeier, D., Rahnenführer, J. (2010) Modelling nonstationary gene regulatory processes Advances in Bioinformatics, 2010, pp. 1-17. (doi: 10.1155/2010/749848)

Pereira, L., Silva, N.M., Franco-Duarte, R., Fernandes, V., Pereira, J.B., Costa, M.D., Martins, H., Soares, P., Behar, D.M., Richards, M., Macaulay, V. (2010) Population expansion in the North African Late Pleistocene signalled by mitochondrial DNA haplogroup U6 BMC Evolutionary Biology, 10, pp. 390. (doi: 10.1186/1471-2148-10-390)

Cook, G., Scott, E.M., Harkness, D.D. (2010) Radiocarbon as a tracer in the global carbon cycle Elsevier

Tyler, A.N., Scott, E.M., Dale, P., Elliott, A.T., Wilkins, B.T., Boddy, K., Toole, J., Cartwright, P. (2010) Reconstructing the abundance of Dounreay hot particles on an adjacent public beach in Northern Scotland Science of the Total Environment, 408, pp. 4495-4503. (doi: 10.1016/j.scitotenv.2010.06.004)

Lin, K., Husmeier, D., Dondelinger, F., Mayer, C.D., Liu, H., Prichard, L., Salmond, G.P.C., Toth, I.K., Birch, P.R.J. (2010) Reverse engineering gene regulatory networks related to Quorum sensing in the plant pathogen Pectobacterium Atrosepticum Humana Press

Nugent, R., Dean, N., Ayers, E. (2010) Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers

Magdalina, A., Ferguson, C., Bowman, A., Willows, R., Johnson, D., Burgess, C., Pope, L., Scott, E.M., Lee, D. (2010) Spatiotemporal modelling of nitrate and phosphorus in river catchments for England and Wales

Girolami, M., Calderhead, B., Vyshemirsky, V. (2010) System identification and model ranking: the Bayesian perspective MIT Press

Scott, E.M., Cook, G.T., Naysmith, P. (2010) The Fifth International Radiocarbon Intercomparison (VIRI): an assessment of laboratory performance in stage 3 Radiocarbon, 52, pp. 859-865.

Scott, E.M., Cook, G., Naysmith, P. (2010) The fifth international radiocarbon intercomparison (VIRI): An assessment of laboratory performance in stage 3 Radiocarbon, 53, pp. 859-865.

Sturm, O. E., Orton, R., Grindlay, J., Birtwistle, M., Vyshemirsky, V., Gilbert, D., Calder, M., Pitt, A.R., Kholodenko, B., Kolch, W. (2010) The mammalian MAPK/ERK pathway exhibits properties of a negative feedback amplifier Science Signaling, 3, pp. ra90. (doi: 10.1126/scisignal.2001212)

Murphy, T.B., Dean, N., Raftery, A.E. (2010) Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications Annals of Applied Statistics, 4, pp. 396-421. (doi: 10.1214/09-AOAS279)

2009

Tyler, A. N., Hunter, P. D., Carvalho, L., Codd, G. A., Elliott, A., Ferguson, C. A., Hanley, N. D., Hopkins, D. W., Maberly, S. C., Mearns, K. J., Scott, E. M. (2009) Strategies for monitoring and managing mass populations of toxic cyanobacteria in recreational waters: a multi-interdisciplinary approach Environmental Health, 8 (Sup, pp. S11. (doi: 10.1186/1476-069X-8-S1-S11)

Gelfond, J.A.L., Gupta, M., Ibrahim, J.G. (2009) A Bayesian hidden Markov model for motif discovery through joint modeling of genomic sequence and ChIP-chip data Biometrics, 65, pp. 1087-1095. (doi: 10.1111/j.1541-0420.2008.01180.x)

Downie, J.J., Mao, Z.L., Lo, T.W.R., Barry, S., Bock, M., Siebert, J.P., Bowman, A., Ayoub, A.F. (2009) A double-blind, clinical evaluation of facial augmentation treatments: a comparison of PRI 1, PRI 2, Zyplast® and Perlane® Journal of Plastic, Reconstructive and Aesthetic Surgery, 62, pp. 1636-1643. (doi: 10.1016/j.bjps.2008.06.056)

Bowman, A.W., Giannitrapani, M., Scott, E.M. (2009) Spatiotemporal smoothing and sulphur dioxide trends over Europe Journal of the Royal Statistical Society: Series C (Applied Statistics), 58, pp. 737-752. (doi: 10.1111/j.1467-9876.2009.00671.x)

Illian, J. B., Prosser, J. I., Baker, K. L., Rangel-Castro, J. I. (2009) Functional principal component data analysis: A new method for analysing microbial community fingerprints Journal of Microbiological Methods, 79, pp. 89-95. (doi: 10.1016/j.mimet.2009.08.010)

Neocleous, T., Portnoy, S. (2009) Partially linear censored quantile regression Lifetime Data Analysis, 15, pp. 357-378. (doi: 10.1007/s10985-009-9117-5)

Sandercock, D.A., Gibson, I.F., Brash, H.M., Rutherford, K.M.D., Scott, E.M., Nolan, A.M. (2009) Development of a mechanical stimulator and force measurement system for the assessment of nociceptive thresholds in pigs Journal of Neuroscience Methods, 182, pp. 64-70. (doi: 10.1016/j.jneumeth.2009.05.019)

Rutherford, K.M.D., Robson, S.K., Donald, R.D., Jarvis, S., Sandercock, D.A., Scott, E.M., Nolan, A.M., Lawrence, A.B. (2009) Pre-natal stress amplifies the immediate behavioural responses to acute pain in piglets Biology Letters, 5, pp. 452-454. (doi: 10.1098/rsbl.2009.0175)

Lee, D., Ferguson, C., Mitchell, R. (2009) Air pollution and health in Scotland: a multicity study Biostatistics, 10, pp. 409-423. (doi: 10.1093/biostatistics/kxp010)

Viana, M., Pierce, G. J., Illian, J., MacLeod, C. D., Bailey, N., Wang, J., Hastie, L. C. (2009) Seasonal movements of veined squid Loligo forbesiin Scottish (UK) waters Aquatic Living Resources, 22, pp. 291-305. (doi: 10.1051/alr/2009026)

Lehrach, W.P., Husmeier, D. (2009) Segmenting bacterial and viral DNA sequence alignments with a trans-dimensional phylogenetic factorial hidden Markov model Journal of the Royal Statistical Society: Series C (Applied Statistics), 58, pp. 307-327. (doi: 10.1111/j.1467-9876.2008.00648.x)

Law, R., Illian, J., Burslem, D. F.R.P., Gratzer, G., Gunatilleke, C.V.S., Gunatilleke, I.A.U.N. (2009) Ecological information from spatial patterns of plants: insights from point process theory Journal of Ecology, 97, pp. 616-628. (doi: 10.1111/j.1365-2745.2009.01510.x)

Soares, P., Ermini, L., Thomson, N., Mormina, M., Rito, T., Rohl, A., Salas, A., Oppenheimer, S., Macaulay, V., Richards, M. B. (2009) Correcting for Purifying Selection: An Improved Human Mitochondrial Molecular Clock American Journal of Human Genetics, 84, pp. 740-759. (doi: 10.1016/j.ajhg.2009.05.001)

Ferguson, C.A., Bowman, A.W., Scott, E.M., Carvalho, L. (2009) Multivariate varying-coefficient models for an ecological system Environmetrics, 20, pp. 460-476. (doi: 10.1002/env.945)

Zadora, G., Neocleous, T. (2009) Likelihood ratio model for classification of forensic evidence Analytica Chimica Acta, 642, pp. 266-278. (doi: 10.1016/j.aca.2008.12.013)

Pereira, L., Freitas, F., Fernandes, V., Pereira, J. B., Costa, M. D., Costa, S., Maximo, V., Macaulay, V., Rocha, R., Samuels, D. C. (2009) The Diversity Present in 5140 Human Mitochondrial Genomes American Journal of Human Genetics, 84, pp. 628-640. (doi: 10.1016/j.ajhg.2009.04.013)

Hackett-Jones, E., Cobbold, C.A., White, A. (2009) Coexistence of multiple parasitoids on a single host due to differences in parasitoid phenology Theoretical Ecology, 2, pp. 19-31. (doi: 10.1007/s12080-008-0025-1)

Cobbold, C.A., Roland, J., Lewis, M.A. (2009) The impact of parasitoid emergence time on host-parasitoid population dynamics Theoretical Population Biology, 75, pp. 201-215. (doi: 10.1016/j.tpb.2009.02.004)

Gupta, M. (2009) Model selection and sensitivity analysis for sequence pattern models Institute of Mathematical Statistics Collections, 1, pp. 390-407.

Milne, I., Lindner, D., Bayer, M., Husmeier, D., McGuire, G., Marshall, D., Wright, F. (2009) TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops Bioinformatics, 25, pp. 126-127. (doi: 10.1093/bioinformatics/btn575)

Ayers, E., Nugent, R., Dean, N. (2009) A comparison of student skill knowledge estimates

Cheng, F., Hartmann, S., Gupta, M., Ibrahim, J.G., Vision, T.J. (2009) A hierarchical model for incomplete alignments in phylogenetic inference Bioinformatics, 25, pp. 592-598. (doi: 10.1093/bioinformatics/btp015)

Gupta, M., Ibrahim, J.G. (2009) An information matrix prior for Bayesian analysis in generalized linear models with high dimensional data Statistica Sinica, 19, pp. 1641-1663.

Grzegorczyk, M., Husmeier, D. (2009) Avoiding spurious feedback loops in the reconstruction of gene regulatory networks with dynamic bayesian networks Lecture Notes in Computer Science, 5780, pp. 113-124. (doi: 10.1007/978-3-642-04031-3_11)

Scott, E. M. (2009) Calibration Introduction Radiocarbon, 51, pp. 283-285.

Nugent, R., Elizabeth, A., Nema, D. (2009) Conditional subspace clustering of skill mastery: identifying skills that separate students

Mantzaris, A.V., Husmeier, D. (2009) Distinguishing regional from within-codon rate heterogeneity in DNA sequence alignments Lecture Notes in Computer Science, 5780, pp. 187-198. (doi: 10.1007/978-3-642-04031-3_17)

Calder, M., Gilmore, S., Hillston, J., Vyshemirsky, V. (2009) Formal methods for biochemical signalling pathways Springer

Illian, J. B., Møller, J., Waagepetersen, R. P. (2009) Hierarchical spatial point process analysis for a plant community with high biodiversity Environmental and Ecological Statistics, 16, pp. 389-405. (doi: 10.1007/s10651-007-0070-8)

Salas, A., Lovo-Gómez, J., Álvarez-Iglesias, V., Cerezo, M., Lareu, M.V., Macaulay, V., Richards, M.B., Carracedo, A. (2009) Mitochondrial echoes of first settlement and genetic continuity in El Salvador PLoS ONE, 4, pp. e6882. (doi: 10.1371/journal.pone.0006882)

Higham, C., Wilcox, D., Haydon, D., Cobbold, C., Monckton, D. (2009) Modelling dynamic DNA in mytonic dystrophy

Grzegorczyk, M., Husmeier, D. (2009) Modelling non-stationary gene regulatory processes with a non-homogeneous dynamic Bayesian network and the change point process Tampere International Centre for Signal Processing

Lin, K., Husmeier, D. (2009) Modelling transcriptional regulation with a mixture of factor analyzers and variational Bayesian expectation maximization EURASIP Journal on Bioinformatics and Systems Biology, 2009,

Grzegorczyk, M., Husmeier, D. (2009) Non-stationary continuous dynamic Bayesian networks Curran Associates

Wiseman-Orr, M. L., Reid, J., Nolan, A. M., Scott, E. M. (2009) Quality of life issues Elsevier

Zhou, Q., Gupta, M. (2009) Regulatory motif discovery: from decoding to meta-analysis World Scientific

Hosey, M.T., Asbury, A.J., Bowman, A.W., Millar, K., Martin, K., Musiello, T., Welbury, R.R. (2009) The effect of transmucosal 0.2mg/kg Midazolam premedication on dental anxiety, anaesthetic induction and psychological morbidity in children undergoing general anaesthesia for tooth extraction British Dental Journal, 207, (doi: 10.1038/sj.bdj.2009.570)

Schyns, F., Paul, L.M., Finlay, K., Ferguson, C., Noble, E. (2009) Vibration therapy in multiple sclerosis: a pilot study exploring its effects on tone, muscle force, sensation and functional performance Clinical Rehabilitation, 23, pp. 771-781. (doi: 10.1177/0269215508101758)

2008

Lee, D., Shaddick, G. (2008) Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models Environmetrics, 19, pp. 785-804. (doi: 10.1002/env.894)

Scott, E. M., Dixon, P., Voigt, G., Whicker, W. (2008) Choice and criteria for selection of sampling strategies in environmental radioactivity monitoring Applied Radiation and Isotopes, 66, pp. 1575-1581. (doi: 10.1016/j.apradiso.2007.10.015)

Katara, I., Illian, J., Pierce, G. J., Scott, B., Wang, J. (2008) Atmospheric forcing on chlorophyll concentration in the Mediterranean Hydrobiologia, 612, pp. 33-48. (doi: 10.1007/s10750-008-9492-z)

Grzegorczyk, M., Husmeier, D., Edwards, K.D., Ghazal, P., Millar, A.J. (2008) Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler Bioinformatics, 24, pp. 2071-2078. (doi: 10.1093/bioinformatics/btn367)

Vyshemirsky, V., Girolami, M. (2008) BioBayes: a software package for Bayesian inference in systems biology Bioinformatics, 24, pp. 1933-1934. (doi: 10.1093/bioinformatics/btn338)

Barry, S.J.E., Bowman, A.W. (2008) Linear mixed models for longitudinal shape data with applications to facial modelling Biostatistics, 9, pp. 555-565. (doi: 10.1093/biostatistics/kxm056)

Werhli, A., Husmeier, D. (2008) Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions Journal of Bioinformatics and Computational Biology, 6, pp. 543-572. (doi: 10.1142/S0219720008003539)

Grzegorczyk, M., Husmeier, D. (2008) Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move Machine Learning, 71, pp. 265-305. (doi: 10.1007/s10994-008-5057-7)

Macaulay, V., Richards, M. (2008) Mitochondrial genome sequences and their phylogeographic interpretation John Wiley & Sons, Ltd

Vyshemirsky, V., Girolami, M. A. (2008) Bayesian ranking of biochemical system models Bioinformatics, 24, pp. 833-839. (doi: 10.1093/bioinformatics/btm607)

Illian, J., Penttinen, A., Stoyan, H., Stoyan, D. (2008) Statistical Analysis and Modelling of Spatial Point Patterns Wiley

Khambay, B., Nairn, N., Bell, A., Miller, J., Bowman, A., Ayoub, A.F. (2008) Validation and reproducibility of a high-resolution camera based three-dimensional facial imaging system British Journal of Oral and Maxillofacial Surgery, 46, pp. 27-32. (doi: 10.1016/j.bjoms.2007.04.017)

Jeong, Y.-C., Walker, N.J., Burgin, D.E., Kissling, G., Gupta, M., Kupper, L., Birnbaum, L.S., Swenberg, J.A. (2008) Accumulation of M1dG DNA adducts after chronic exposure to PCBs, but not from acute exposure to polychlorinated aromatic hydrocarbons Free Radical Biology and Medicine, 45, pp. 585-591. (doi: 10.1016/j.freeradbiomed.2008.04.043)

Husmeier, D., Mantzaris, A. (2008) Addressing the shortcomings of three recent Bayesian methods for detecting interspecific recombination in DNA sequence alignments Statistical Applications in Genetics and Molecular Biology, 7, pp. Art. 34.

Murrell, J.C., Psatha, E.P., Scott, E.M., Reid, J., Hellebrekers, L.J. (2008) Application of a modified form of the Glasgow pain scale in a veterinary teaching centre in the Netherlands Veterinary Record, 162, pp. 405-410. (doi: 10.1136/vr.162.13.403)

Illian, J. B. (2008) Applications of Marked Point Patterns in Ecology

Ferguson, C.A., Carvalho, L., Scott, E.M., Bowman, A.W., Kirika, A. (2008) Assessing ecological responses to environmental change using statistical models Journal of Applied Ecology, 45, pp. 193-203. (doi: 10.1111/j.1365-2664.2007.01428.x)

Soares, P., Trejaut, J.A., Loo, J.H., Hill, C., Mormina, M., Lee, C.L., Chen, Y.M., Hudjashov, G., Forster, P., Macaulay, V., Bulbeck, D., Oppenheimer, S., Lin, M., Richards, M.B. (2008) Climate change and postglacial human dispersals in Southeast Asia Molecular Biology and Evolution, 25, pp. 1209-1218. (doi: 10.1093/molbev/msn068)

Shaddick, G., Lee, D., Zidek, J., Salway, R. (2008) Estimating exposure response functions using ambient pollution concentrations Annals of Applied Statistics, 2, pp. 1249-1270. (doi: 10.1214/08-AOAS177)

Lin, H., Ray, S., Tongchusak, S., Reinherz, E.L., Brusic, V. (2008) Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research BMC Immunology, 9, pp. 8-8. (doi: 10.1186/1471-2172-9-8)

Achilli, A., Olivieri, A., Pellecchia, M., Uboldi, C., Colli, L., Al-Zahery, N., Accetturo, M., Pala, M., Kashani, B.H., Perego, U.A., Battaglia, V., Fornarino, S., Kalamati, J., Houshmand, M., Negrini, R., Semino, O., Richards, M., Macaulay, V., Ferretti, L., Bandelt, H.J., Ajmone-Marsan, P., Torroni, A. (2008) Mitochondrial genomes of extinct aurochs survive in domestic cattle Current Biology, 18, pp. R157-R158. (doi: 10.1016/j.cub.2008.01.019)

Ray, S., Lindsay, B.G. (2008) Model selection in high dimensions: a quadratic-risk-based approach Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70, pp. 95-118. (doi: 10.1111/j.1467-9868.2007.00623.x)

Ferguson, C., Bowman, A. (2008) Nonparametric principal components analysis for ecological data

Goodall, C.A., Ayoub, A.F., Crawford, A., Smith, I., Bowman, A., Koppel, D., Gilchrist, G. (2008) Nurse-delivered brief interventions for hazardous drinkers with alcohol-related facial trauma: a prospective randomised controlled trial British Journal of Oral and Maxillofacial Surgery, 46, pp. 96-101. (doi: 10.1016/j.bjoms.2007.11.014)

Neocleous, T., Portnoy, S. (2008) On monotonicity of regression quantile functions Statistics and Probability Letters, 78, pp. 1226-1229. (doi: 10.1016/j.spl.2007.11.024)

Lindsay, B.G., Markatou, M., Ray, S., Yang, K., Chen, S.-C. (2008) Quadratic distances on probabilities: A unified foundation Annals of Statistics, 36, pp. 983-1006. (doi: 10.1214/009053607000000956)

Grzegorczyk, M., Husmeier, D., Werhli, A. (2008) Reverse engineering gene regulatory networks with various machine learning methods Wiley-VCH

Ayers, E., Nugent, R., Dean, N. (2008) Skill set profile clustering based on student capability vectors computed from online tutoring data

Bowman, A.W. (2008) Smoothing techniques for visualisation Springer

2007

Lee, D., Shaddick, G. (2007) Time-varying coefficient models for the analysis of air pollution and health outcome data Biometrics, 63, pp. 1253-1261. (doi: 10.1111/j.1541-0420.2007.00776.x)

Sanderson, D.C.W., Carmichael, L.A., Fisk, S., Key, P., Scott, E.M., Thompson, M., Alberti, A., Baden, M., Barth, S., Baumann, N., Bergman, M., Brockmann, R., Brown, P., Buranasilp, S., Chan Sheot Harn, J., Das, R., Dittmar, F., Gemperle, C., Jung Heon, J., Kay, C., Kiryanthan, R., Lardner, C., MacFarlane, S., McKay, K., Niemi, E., Onori, S., Peng, T.S., Pfordt, J., Poulima, I., Pugh, M., Sardone, N., Song, I.-S., Straub, I., Todoriki, S., Wiezorek, C., Woo Suk, K. (2007) Development of Proficiency Testing for Detection of Irradiated Food: Project E01068. Results of First Round PSL Trials, September 2005

Sanderson, D.C.W., Carmichael, L.A., Fisk, S., Key, P., Scott, E.M., Thompson, M., Alberti, A., Baden, M., Barth, S., Baumann, N., Bergman, M., Brockmann, R., Brown, P., Brunner, J., Buranasilp, S., Butz, B., Chan Sheot Harn, J., Das, R., Dittmar, F., Gemperle, C., Jung Heon, J., Iglovari, M., Kay, C., Kruspe, W., Lardner, C., MacFarlane, S., McKay, K., Muller, B., Niemi, E., Nuchter-Frangos, M., Onori, S., O'Sullivan, M., Pfordt, J., Poulima, I., Pugh, M., Sardone, N., Schleich, C., Song, I.-S., Straub, I., Todoriki, S., Ward, A., Wiezorek, C., Woo Suk, K. (2007) Development of Proficiency Testing for Detection of Irradiated Food: Project E01068. Results of Second Round PSL and TL Trials, September 2006

Sanderson, D., Carmichael, L., Fisk, S., Key, P., Scott, E.M. (2007) Development of proficiency testing for detection of irradiated food project E01068. Volume III: results of third round PSL and TL trials, June 2007

Gupta, M., Qu, P., Ibrahim, J.G. (2007) A temporal hidden Markov regression model for the analysis of gene regulatory networks. Biostatistics, 8, pp. 805-820. (doi: 10.1093/biostatistics/kxm007)

Millar, K., Asbury, A.J., Bowman, A.W., Hosey, M., Martin, K., Musiello, T., Welbury, R.R. (2007) A randomised placebo-controlled trial of the effects of midazolam premedication on children's postoperative cognition Anaesthesia, 62, pp. 923-930. (doi: 10.1111/j.1365-2044.2007.05148.x)

Gupta, M., Ibrahim, J.G. (2007) Variable selection in regression mixture modeling for the discovery of gene regulatory networks Journal of the American Statistical Association, 102, pp. 867-880. (doi: 10.1198/016214507000000068)

Li, J., Ray, S., Lindsay, B.G. (2007) A nonparametric statistical approach to clustering via mode identification Journal of Machine Learning Research: Proceedings Track, 8, pp. 1687-1723.

Ferguson, C.A., Bowman, A.W., Scott, E.M., Carvalho, L. (2007) Model comparison for a complex ecological system Journal of the Royal Statistical Society: Series A (Statistics in Society), 170, pp. 691-711. (doi: 10.1111/j.1467-985X.2006.00462.x)

Armstrong, M.R., Husmeier, D., Phillips, M.S., Blok, V.C. (2007) Segregation and recombination of a multipartite mitochondrial DNA in populations of the potato cyst nematode globodera pallida Journal of Molecular Evolution, 64, pp. 689-701. (doi: 10.1007/s00239-007-0023-8)

Husmeier, D., Glasbey, C. (2007) Contribution to the discussion on the paper by Handcock, Raftery and Tantrum: Model-based clustering for social networks Journal of the Royal Statistical Society: Series A (Statistics in Society), 170, pp. 340-340. (doi: 10.1111/j.1467-985X.2007.00471.x)

Bowman, A., Crawford, E., Alexander, G., Bowman, R. W. (2007) rpanel: Simple interactive controls for R functions using the tcltk package Journal of Statistical Software, 17, (doi: 10.18637/jss.v017.i09)

Naysmith, P., Scott, E.M., Cook, G.T., Heinemeier, J.., van der Plicht, J., Van Strydonck, M., Ramsey, C.B., Grootes, P.M., Freeman, S.P.H.T. (2007) A cremated bone intercomparison study Radiocarbon, 49, pp. 403-408. (doi: 10.1017/S0033822200042338)

Hill, C., Soares, P., Mormina, M., Macaulay, V., Clarke, D., Blumbach, P., Vizuete-Forster, M., Forster, P., Bulbeck, D., Oppenheimer, S., Richards, M. (2007) A mitochondrial stratigraphy for island southeast Asia American Journal of Human Genetics, 80, pp. 29-43.

Scott, E.M., Cook, G.., Naysmith, P., Bryant, .a., O'Donnell, D. (2007) A report on phase 1 of the 5th International Radiocarbon Intercomparison (VIRI) Radiocarbon, 49, pp. 409-426. (doi: 10.1017/S003382220004234X)

Ray, S., Kepler, T.B. (2007) Amino acid biophysical properties in the statistical prediction of peptide-MHC class I binding Immunome Research, 3, pp. 9-9. (doi: 10.1186/1745-7580-3-9)

Husmeier, D., Werhli, A. (2007) Bayesian integration of biological prior knowledge into the reconstruction of gene networks with Bayesian networks Imperial College Press

Scott, E.M., Nolan, A.M., Reid, J., Wiseman-Orr, M.L. (2007) Can we really measure animal quality of life? Methodologies for measuring quality of life in people and other animals Animal Welfare, 16, pp. 17-24.

Illian, J.B., Burslem, D.F.R.P. (2007) Contributions of spatial point process modelling to biodiversity theory Journal de la Societe Francaise de Statistique, 148, pp. 9-29.

Reid, J., Nolan, A.M., Hughes, J.M.L., Lascelles, D., Pawson, P., Scott, E.M. (2007) Development of the short-form Glasgow Composite Measure Pain Scale (CMPS-SF) and derivation of an analgesic intervention score Animal Welfare, 16, pp. 97-104.

Scott, E.M., Cook, G.T., Naysmith, P. (2007) Error and uncertainty in radiocarbon measurements Radiocarbon, 49, pp. 427-440. (doi: 10.1017/S0033822200042351)

Bock, M., Bowman, A., Ismail, B. (2007) Estimation and inference for error variance in bivariate nonparametric regression Statistics and Computing, 17, pp. 39-47. (doi: 10.1007/s11222-006-9000-0)

Devlin, M.F., Ray, A., Raine, P., Bowman, A., Ayoub, A.F. (2007) Facial symmetry in unilateral cleft lip and palate following alar base augmentation with bone graft: A three-dimensional assessment Cleft Palate: Craniofacial Journal, 44, pp. 391-395. (doi: 10.1597/06-179.1)

Gupta, M. (2007) Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arrays Biometrics, 63, pp. 797-805. (doi: 10.1111/j.1541-0420.2007.00760.x)

Lowther, M., Mutrie, N., Scott, E.M. (2007) Identifying key processes of exercise behaviour change associated with movement through the stages of exercise behaviour change Journal of Health Psychology, 12, pp. 261-272. (doi: 10.1177/1359105307074253)

Pereira, L., Goncalves, J., Franco-Duarte, R., Silva, J., Rocha, T., Arnold, C., Richards, M., Macaulay, V. (2007) No evidence for an mtDNA role in sperm motility: Data from complete sequencing of asthenozoospermic males Molecular Biology and Evolution, 24, pp. 868-874. (doi: 10.1093/molbev/msm004)

Salas, A., Bandelt, H., Macaulay, V., Richards, M. (2007) Phylogeographic investigations: The role of trees in forensic genetics Forensic Science International, 168, pp. 1-13. (doi: 10.1016/j.forsciint.2006.05.037)

Maki, A., Kono, H., Gupta, M., Asakawa, M., Suzuki, T., Matsuda, M., Fujii, H., Rusyn, I. (2007) Predictive power of biomarkers of oxidative stress and inflammation in patients with hepatitis C virus-associated hepatocellular carcinoma Annals of Surgical Oncology, 14, pp. 1182-1190. (doi: 10.1245/s10434-006-9049-1)

Lehrach, W., Husmeier, D., Williams, C.K.I. (2007) Probabilistic in silico prediction of protein-peptide interactions Springer

Werhli, A., Husmeier, D. (2007) Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge Statistical Applications in Genetics and Molecular Biology, 6, pp. Art. 15.

Scott, E.M. (2007) Setting, and evaluating the effectiveness of, environmental policy Environmetrics, 18, pp. 333-343. (doi: 10.1002/env.833)

Levy, J. H., Reinhardt, J. M., Broadhurst, R. E., Ray, S., Chaney, E. L., Pizer, S. M. (2007) Signaling local non-credibility in an automatic segmentation pipeline (doi: 10.1117/12.709015)

Giannitrapani, M., Bowman, A., Scott, M., Smith, R. (2007) Temporal analysis of spatial covariance of SO2 in Europe Environmetrics, 18, pp. 409-420. (doi: 10.1002/env.819)

Hall, D.W., Cook, G.T., Hall, M.A., Muir, G.K.P., Hamilton, D., Scott, E.M. (2007) The early medieval origin of Perth, Scotland Radiocarbon, 49, pp. 639-644.

McMullan, A., Bowman, A.W., Scott, E.M. (2007) Water quality in the River Clyde: a case study of additive and interaction models Environmetrics, 18, pp. 527-539. (doi: 10.1002/env.823)

Goios, A., Pereira, L., Bogue, M., Macaulay, V., Amorim, A. (2007) mtDNA phylogeny and evolution of laboratory mouse strains Genome Research, 17, pp. 293-298. (doi: 10.1101/gr.5941007)

2006

Wiseman-Orr, M. L., Scott, E. M., Reid, J., Nolan, A. M. (2006) Validation of a structured questionnaire as an instrument to measure chronic pain in dogs on the basis of effects on health-related quality of life American Journal of Veterinary Research, 67, pp. 1826-1836. (doi: 10.2460/ajvr.67.11.1826)

Werhli, A.V., Grzegorczyk, M., Husmeier, D. (2006) Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks Bioinformatics, 22, pp. 2523-2531. (doi: 10.1093/bioinformatics/btl391)

Schneider, M. K., Law, R., Illian, J. B. (2006) Quantification of neighbourhood-dependent plant growth by Bayesian hierarchical modelling Journal of Ecology, 94, pp. 310-321. (doi: 10.1111/j.1365-2745.2005.01079.x)

Bock, M.T., Bowman, A.W. (2006) On the measurement and analysis of asymmetry with applications to facial modelling Journal of the Royal Statistical Society: Series C (Applied Statistics), 55, pp. 77-91. (doi: 10.1111/j.1467-9876.2005.00532.x)

Vyshemirsky, V., Girolami, M., Gormand, A., Kolch, W. (2006) A Bayesian Analysis of the ERK Signalling Pathway pp. 1-34.

Kedzierska, A., Husmeier, D. (2006) A heuristic bayesian method for segmenting DNA sequence alignments and detecting evidence for recombination and gene conversion Statistical Applications in Genetics and Molecular Biology, 5, pp. Art. 27. (doi: 10.2202/1544-6115.1238,)

Lehrach, W. P., Husmeier, D., Williams, C. K. I. (2006) A regularized discriminative model for the prediction of protein-peptide interactions Bioinformatics, 22, pp. 532-540. (doi: 10.1093/bioinformatics/bti804)

Eckersall, P., Young, F., Nolan, A., Knight, C., McComb, C., Waterston, M., Hogarth, C., Scott, E., Fitzpatrick, J. (2006) Acute phase proteins in bovine milk in an experimental model of Staphylococcus aureus subclinical mastitis Journal of Dairy Science, 89, pp. 1488-1501.

Calder, M., Vyshemirsky, V., Gilbert, D., Orton, R. (2006) Analysis of signalling pathways using continuous time Markov chains Lecture Notes in Computer Science, 4220, pp. 44-67. (doi: 10.1007/11880646_3)

Gupta, M., Liu, J.S. (2006) Bayesian modeling and inference for motif discovery Cambridge University Press

Bowman, A. (2006) Comparing nonparametric surfaces Statistical Modelling, 6, pp. 279-299. (doi: 10.1177/1471082006071848)

Gilbert, D., Fuss, H., Gu, X., Orton, R., Robinson, S., Vyshemirsky, V., Kurth, M.J., Downes, C.S., Dubitzky, W. (2006) Computational methodologies for modelling, analysis and simulation of signalling networks Briefings in Bioinformatics, 7, pp. 339-353. (doi: 10.1093/bib/bbl043)

Bowman, A., Pope, A., Ismail, B. (2006) Detecting discontinuities in nonparametric regression curves and surfaces Statistics and Computing, 16, pp. 377-390. (doi: 10.1007/s11222-006-9618-y)

Husmeier, D. (2006) Detecting mosaic structures in DNA sequence alignments World Scientific

Bandelt, H.J., Kong, Q.P., Richards, M., Macaulay, V. (2006) Estimation of mutation rates and coalescence times: some caveats Springer

Pereira, L., Richards, M., Goios, A., Alonso, A., Albarran, C., Garcia, O., Behar, D., Golge, M., Hatina, J., Al-Gazali, L., Bradley, D., Macaulay, V., Amorim, A. (2006) Evaluating the forensic informativeness of mtDNA haplogroup H sub-typing on a Eurasian scale Forensic Science International, 159, pp. 43-50. (doi: 10.1016/j.forsciint.2005.06.008)

Bowman, A., Bock, M. (2006) Exploring variation in three-dimensional shape data Journal of Computational and Graphical Statistics, 15, pp. 524-541. (doi: 10.1198/106186006X136679)

Torroni, A., Achilli, A., Macaulay, V., Richards, M., Bandelt, H. (2006) Harvesting the fruit of the human mtDNA tree Trends in Genetics, 22, pp. 339-345. (doi: 10.1016/j.tig.2006.04.001)

(2006) Human Mitochondrial DNA and the Evolution of Homo Sapiens

Werhli, A., Grzegorczyk, M., Chiang, M.-T., Husmeier, D. (2006) Improved gibbs sampling for detecting mosaic structures in DNA sequence alignments Centro Internacional de Matematica

Hill, C., Soares, P., Mormina, M., Macaulay, V., Meehan, W., Blackburn, J., Clarke, D., Raja, J., Ismail, P., Bulbeck, D., Oppenheimer, S., Richards, M. (2006) Phylogeography and ethnogenesis of aboriginal Southeast Asians Molecular Biology and Evolution, 23, pp. 2480-2491. (doi: 10.1093/molbev/msl124)

Illian, J., Benson, E., Crawford, J., Staines, H. (2006) Principal component analysis for spatial point processes — assessing the appropriateness of the approach in an ecological context Springer

Giresi, P.G., Gupta, M., Lieb, J.D. (2006) Regulation of nucleosome stability as a mediator of chromatin function Current Opinion in Genetics and Development, 16, pp. 171-176. (doi: 10.1016/j.gde.2006.02.003)

Jeong, J., Pizer, S.M., Ray, S. (2006) Statistics on anatomic objects reflecting inter-object relations

Giannitrapani, M., Bowman, A., Scott, M., Smith, R. (2006) Sulphur dioxide in Europe: Statistical relationships between emissions and measured concentrations Atmospheric Environment, 40, pp. 2524-2532. (doi: 10.1016/j.atmosenv.2005.12.052)

2005

Calder, M., Vyshemirsky, V., Gilbert, D., Orton, R. (2005) Analysis of Signalling Pathways Using the PRISM Model Checker

Salas, A., Yao, Y.G., Macaulay, V., Vega, A., Carracedo, A., Bandelt, H.J. (2005) A critical reassessment of the role of mitochondria in tumorigenesis PLoS Medicine, 2, pp. e296. (doi: 10.1371/journal.pmed.0020296)

Salas, A., Carracedo, A., Macaulay, V., Richards, M., Bandelt, H. (2005) A practical guide to mitochondrial DNA error prevention in clinical, forensic, and population genetics Biochemical and Biophysical Research Communications, 335, pp. 891-899. (doi: 10.1016/j.bbrc.2005.07.161)

Morton, C., Reid, J., Scott, E., Holton, L., Nolan, A. (2005) Application of a scaling model to establish and validate an interval level pain scale for assessment of acute pain in dogs American Journal of Veterinary Research, 66, pp. 2154-2166.

Salas, A., Carracedo, A., Richards, M., Macaulay, V. (2005) Charting the ancestry of African Americans American Journal of Human Genetics, 77, pp. 676-680.

Zaitseva, G., Chugunov, K., Bokovenko, N., Dergachev, V., Dirksen, V., Van Geel, B., Koulkova, M., Lebedeva, L., Sementsov, A., Van Der Plicht, J., Scott, E., Vasiliev, S., Lokhov, K., Bourova, N. (2005) Chronological study of archaeological sites and environmental change around 2600 BP in the Eurasian steppe belt (Uyuk valley, Tuva Republic) Geochronometria, 24, pp. 97-107.

MacDougall, M., Smith, R., Scott, E. (2005) Comprehensive sensitivity analysis of an SO2 deposition model for three measurement sites: Consequences for SO2 deposition fluxes Atmospheric Environment, 39, pp. 5025-5039. (doi: 10.1016/j.atmosenv.2005.05.024)

Orton, R.J., Sturm, O.E., Vyshemirsky, V., Calder, M., Gilbert, D.R., Kolch, W. (2005) Computational modelling of the receptor-tyrosine-kinase-activated MAR pathway Biochemical Journal, 392, pp. 249-261. (doi: 10.1042/BJ20050908)

Gupta, M., Liu, J.S. (2005) De novo cis-regulatory module elicitation for eukaryotic genomes Proceedings of the National Academy of Sciences of the United States of America, 102, pp. 7079-7084. (doi: 10.1073/pnas.0408743102)

Husmeier, D., Wright, F., Milne, I. (2005) Detecting interspecific recombination with a pruned probabilistic divergence measure Bioinformatics, 21, pp. 1797-1806. (doi: 10.1093/bioinformatics/bti151)

Husmeier, D. (2005) Discriminating between rate heterogeneity and interspecific recombination in DNA sequence alignments with phylogenetic factorial hidden Markov models Bioinformatics, 21, pp. ii166-ii172. (doi: 10.1093/bioinformatics/bti1127)

Pereira, L., Richards, M., Goios, A., Alonso, A., Albarran, C., Garcia, O., Behar, D., Golge, M., Hatina, J., Al-Gazali, L., Bradley, D., Macaulay, V., Amorim, A. (2005) High-resolution mtDNA evidence for the late-glacial resettlement of Europe from an Iberian refugium Genome Research, 15, pp. 19-24. (doi: 10.1101/gr.3182305)

Cobbold, C.A., Lewis, M.A., Lutscher, F., Roland, J. (2005) How parasitism affects critical patch-size in a host-parasitoid model: application to the forest tent caterpillar Theoretical Population Biology, 67, pp. 109-125. (doi: 10.1016/j.tpb.2004.09.004)

Ascough, P.L., Cook, G.T., Dugmore, A.J., Scott, E.M., Freeman, S.P.H.T. (2005) Influence of mollusk species on marine DELTA R determinations Radiocarbon, 47, pp. 433-440.

Husmeier, D., Dybowski, R., Roberts, S. (2005) Probabilistic Modeling in Bioinformatics and Medical Informatics Springer

Salas, A., Richards, M., Lareu, M., Sobrino, B., Silva, S., Matamoros, M., Macaulay, V., Carracedo, A. (2005) Shipwrecks and founder effects: Divergent demographic histories reflected in Caribbean mtDNA American Journal of Physical Anthropology, 128, pp. 855-860. (doi: 10.1002/ajpa.20117)

Macaulay, V., Hill, C., Achilli, A., Rengo, C., Clarke, D., Meehan, W., Blackburn, J., Semino, O., Scozzari, R., Cruciani, F., Taha, A., Shaari, N., Raja, J., Ismail, P., Zainuddin, Z., Goodwin, W., Bulbeck, D., Bandelt, H., Oppenheimer, S., Torroni, A., Richards, M. (2005) Single, rapid coastal settlement of Asia revealed by analysis of complete mitochondrial genomes Science, 308, pp. 1034-1036. (doi: 10.1126/science.1109792)

Altman, N., Banks, D., Hardwick, J., Roeder, K., Craigmile, P.F., Hardin, J., Gupta, M. (2005) The IMS New Researchers' Survival Guide The Institute of Mathematical Statistics

Ray, S., Lindsay, B.G. (2005) The topography of multivariate normal mixtures Annals of Statistics, 33, pp. 2042-2065. (doi: 10.1214/009053605000000417)

2004

Wiseman-Orr, M. L., Nolan, A. M., Reid, J., Scott, E. M. (2004) Development of a questionnaire to measure the effects of chronic pain on health-related quality of life in dogs American Journal of Veterinary Research, 65, pp. 1077-1084. (doi: 10.2460/ajvr.2004.65.1077)

Milne, I., Wright, F., Rowe, G., Marshall, D.F., Husmeier, D., McGuire, G. (2004) TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments Bioinformatics, 20, pp. 1806-1807. (doi: 10.1093/bioinformatics/bth155)

Lowe, J., Walker, M., Scott, E., Harkness, D., Bryant, C., Davies, S. (2004) A coherent high-precision radiocarbon chronology for the Late-glacial sequence at Sluggan Bog, Co. Antrim, Northern Ireland Journal of Quaternary Science, 19, pp. 147-158. (doi: 10.1002/jqs.814)

Xu, S., Anderson, R., Bryant, C., Cook, G.T., Dougans, A., Freeman, S., Naysmith, P., Schnabel, C., Scott, E.M. (2004) Capabilities of the new suerc 5MV AMS facility for C-14 dating Radiocarbon, 46, pp. 59-64. (doi: 10.1017/S0033822200039357)

Zaitseva, G., Chugunov, K., Dergachev, V., Nagler, A., Parzinger, G., Scott, E., Sementsov, A., Vasiliev, S., van Geel, B., van der Plicht, J., Lebedeva, L. (2004) Chronological studies of the Arzhan-2 Scythian monument in Tuva (Russia) Radiocarbon, 46, pp. 277-284.

Glasbey, C., Husmeier, D. (2004) Contribution to the discussion on the paper by Friedman and Meulman: Clustering objects on subsets of attributes Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66, pp. 840-841. (doi: 10.1111/j.1467-9868.2004.02059.x)

Gupta, M., Liu, J.S. (2004) Discussions on "A Bayesian Approach to DNA Sequence Segmentation" Biometrics, 60, pp. 582-583. (doi: 10.1111/j.0006-341X.2004.206_3.x)

Hood, C.A., Hosey, M.T., Bock, M., White, J., Ray, A., Ayoub, A.F. (2004) Facial characterization of infants with cleft lip and palate using a three-dimensional capture technique Cleft Palate: Craniofacial Journal, 41, pp. 27 -35. (doi: 10.1597/02-143)

Ascough, P. L., Cook, G. T., Dugmore, A. J., Barber, J., Higney, E., Scott, E. M. (2004) Holocene variations in the Scottish marine radiocarbon reservoir effect Radiocarbon, 46, pp. 611-620. (doi: 10.1017/S0033822200035657)

(2004) Impact of the Environment on Human Migration in Eurasia

Vega, A., Salas, A., Gamborino, E., Sobrido, M., Macaulay, V., Carracedo, A. (2004) MtDNA mutations in tumors of the central nervous system reflect the neutral evolution of mtDNA in populations Oncogene, 23, pp. 1314-1320. (doi: 10.1038/sj.onc.1207214)

Povinec, P., Hirose, K., Honda, T., Ito, T., Scott, E., Togawa, O. (2004) Spatial distribution of H-3, Sr-90, Cs-137 and Pu-239,Pu-240 in surface waters of the Pacific and Indian Oceans - GLOMARD database Journal of Environmental Radioactivity, 76, pp. 113-137. (doi: 10.1016/j.jenvrad.2004.03.022)

Salas, A., Richards, M., Lareu, M., Scozzari, R., Coppa, A., Torroni, A., Macaulay, V., Carracedo, A. (2004) The African diaspora: Mitochondrial DNA and the Atlantic slave trade American Journal of Human Genetics, 74, pp. 454-465.

Richards, M., Macaulay, V., Hill, C., Carracedo, A., Salas, A. (2004) The archaeogenetics of the dispersals of the Bantu-speaking people McDonald Institute for Archaeological Research

2003

Krivtsov, V., Illian, J.B., Liddell, K., Garside, A., Bezginova, T., Salmond, R., Thompson, J., Griffiths, B., Staines, H.J., Watling, R., Brendler, A., Palfreyman, J.W. (2003) Some aspects of complex interactions involving soil mesofauna: analysis of the results from a Scottish woodland Ecological Modelling, 170, pp. 441-452. (doi: 10.1016/S0304-3800(03)00244-8)

Husmeier, D. (2003) Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks Bioinformatics, 19, pp. 2271-2282. (doi: 10.1093/bioinformatics/btg313)

Scott, E.M., Fitzpatrick, J.L., Nolan, A.M., Reid, J., Wiseman, M.L. (2003) Evaluation of welfare state based on interpretation of multiple indices Animal Welfare, 12, pp. 457-468.

Husmeier, D., McGuire, G. (2003) Detecting recombination in 4-taxa DNA sequence alignments with Bayesian hidden markov models and markov chain monte carlo Molecular Biology and Evolution, 20, pp. 315-337. (doi: 10.1093/molbev/msg039)

Lauritzen, B., Sanderson, D.W., Cresswell, A., Scott, E.M., Finck, R.R., Karlsson, S. (2003) ECCOMAGS: Initial Results from the RESUME 2002 Exercise

Al Omari, I., Millett, D.T., Ayoub, A.F., Bock, M., Ray, A., Dunaway, D., Crampin, L. (2003) An appraisal of three methods of rating facial deformity in patients with repaired complete unilateral cleft lip and palate Cleft Palate: Craniofacial Journal, 40, pp. 530 -537. (doi: 10.1597/1545-1569(2003)040<0530:AAOTMO>2.0.CO;2)

Bowman, A., Azzalini, A. (2003) Computational aspects of nonparametric smoothing with illustrations from the sm library Computational Statistics and Data Analysis, 42, pp. 545-560.

Gupta, M., Liu, J.S. (2003) Discovery of conserved sequence patterns using a stochastic dictionary model Journal of the American Statistical Association, 98, pp. 55-66. (doi: 10.1198/016214503388619094)

Scott, E.M., Bryant, C., Cook, G.T., Naysmith, P. (2003) Is there a fifth international radiocarbon intercomparison (VIRI)? Radiocarbon, 45, pp. 493-495. (doi: 10.1017/S0033822200032835)

(2003) Modelling Radioactivity in the Environment

McMullan, A., Bowman, A., Scott, E. (2003) Non-linear and nonparametric modelling of seasonal environmental data Computational Statistics, 18, pp. 167-183.

Husmeier, D. (2003) Reverse engineering of genetic networks with Bayesian networks Biochemical Society Transactions, 31, pp. 1516-1518.

Poulton, J., Macaulay, V., Marchington, D.R. (2003) Transmission, genetic counselling, and prenatal diagnosis of mitochondrial DNA disease Oxford University Press

Bandelt, H.J., Macaulay, V., Richards, M. (2003) What molecules can't tell us about the spread of languages and the Neolithic McDonald Institute for Archaeological Research

2002

Husmeier, D. (2002) Contribution to: Discussion on the meeting on 'Statistical modelling and analysis of genetic data' Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, pp. 751-751. (doi: 10.1111/1467-9868.00359)

Husmeier, D., McGuire, G. (2002) Detecting recombination with MCMC Bioinformatics, 18, pp. S345-S353. (doi: 10.1093/bioinformatics/18.suppl_1.S345)

Husmeier, D., Wright, F. (2002) A Bayesian approach to discriminate between alternative DNA sequence segmentations Bioinformatics, 18, pp. 226-234. (doi: 10.1093/bioinformatics/18.2.226)

Cobbold, C.A., Sherratt, J.A., Maxwell, S.R.J. (2002) Lipoprotein oxidation and its significance for atherosclerosis: a mathematical approach Bulletin of Mathematical Biology, 64, pp. 65-95. (doi: 10.1006/bulm.2001.0267)

Richards, M., Macaulay, V., Bandelt, H.J. (2002) Analyzing genetic data in a model-based framework: inferences about European prehistory McDonald Institute for Archaeological Research

Bock, M., Bowman, A., Bowman, J. (2002) Data extraction from dense 3-D surface models Physica

Basu, A., Ray, S., Park, C., Basu, S. (2002) Improved power in multinomial goodness-of-fit tests Journal of the Royal Statistical Society: Series D (The Statistician), 51, pp. 381-393. (doi: 10.1111/1467-9884.00325)

Lowther, M., Mutrie, N., Scott, E. (2002) Promoting physical activity in a socially and economically deprived community: a 12 month randomized control trial of fitness assessment and exercise consultation Journal of Sports Sciences, 20, pp. 577-588.

Liu, J.S., Gupta, M., Liu, X.L., Mayerhofer, L., Lawrence, C.L. (2002) Statistical models for biological sequence motif discovery Springer

2001

Wiseman-Orr, M.L., Nolan, A.M., Reid, J.A., Scott, E.M. (2001) Preliminary study on owner-reported behaviour changes associated with chronic pain in dogs Veterinary Record, 149, pp. 423-424. (doi: 10.1136/vr.149.14.423)

Cobbold, C.A. (2001) The role of nitric oxide in the formation of keloid and hypertrophic lesions Medical Hypotheses, 57, pp. 497-502. (doi: 10.1054/mehy.2001.1373)

Husmeier, D., Wright, F. (2001) Detection of recombination in DNA multiple alignments with hidden markov models Journal of Computational Biology, 8, pp. 401-427. (doi: 10.1089/106652701752236214)

Husmeier, D., Wright, F. (2001) Probabilistic divergence measures for detecting interspecies recombination Bioinformatics, 17, pp. S123-S131. (doi: 10.1093/bioinformatics/17.suppl_1.S123)

Holton, L., Reid, J., Scott, E.M., Pawson, P., Nolan, A.M. (2001) Development of a behaviour-based scale to measure acute pain in dogs Veterinary Record, 148, pp. 525-531. (doi: 10.1136/vr.148.17.525)

Althoefer, K., Krekelberg, B., Husmeier, D., Seneviratne, L. (2001) Reinforcement learning in a rule-based navigator for robotic manipulators Neurocomputing, 37, pp. 51-70. (doi: 10.1016/S0925-2312(00)00307-6)

Husmeier, D., Wright, F. (2001) Approximate Bayesian discrimination between alternative DNA mosaic structures German Research Center for Biotechnology

Scott, E.M., Nolan, A.M., Fitzpatrick, J.L. (2001) Conceptual and methodological issues related to welfare assessment: A framework for measurement Acta Agriculturae Scandinavica Section A: Animal Science, pp. 5-10.

Sanderson, D.C.W., Carmichael, L., Murphy, S., Whitely, V., Scott, E.M., Cresswell, A. (2001) Investigation of Statistical and Imaging Methods for Luminescence Detection of Irradiated Ingredients

Diblasi, A., Bowman, A. (2001) On the use of the variogram in checking for independence in spatial data Biometrics, 57, pp. 211-218.

Walker, M.J.C., Bryant, C., Coope, G.R., Harkness, D.D., Lowe, J.J., Scott, E.M. (2001) Towards a radiocarbon chronology of the Late-Glacial: Sample selection strategies Radiocarbon, 43, pp. 1007-1019. (doi: 10.1017/S0033822200041679)

2000

Husmeier, D. (2000) The Bayesian evidence scheme for regularizing probability-density estimating neural networks Neural Computation, 12, pp. 2685-2717. (doi: 10.1162/089976600300014890)

Husmeier, D. (2000) Learning non-stationary conditional probability distributions Neural Networks, 13, pp. 287-290. (doi: 10.1016/S0893-6080(00)00018-6)

Husmeier, D. (2000) Bayesian regularization of hidden Markov models with an application to bioinformatics Neural Network World, 10, pp. 589-595.

Husmeier, D., Wright, F. (2000) Detecting sporadic recombination in DNA alignments with hidden Markov models Logos Verlag

Cobbold, C.A., Sherratt, J. A. (2000) Mathematical modelling of nitric oxide activity in wound healing can explain keloid and hypertrophic scarring Journal of Theoretical Biology, 204, pp. 257-288. (doi: 10.1006/jtbi.2000.2012)

Penny, W.D., Husmeier, D., Roberts, S.J. (2000) The Bayesian paradigm: second generation neural computing Springer-Verlag

1999

Husmeier, D., Penny, W.D., Roberts, S.J. (1999) An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers Neural Networks, 12, pp. 677-705. (doi: 10.1016/S0893-6080(99)00020-9)

Penny, W.D., Husmeier, D., Roberts, S.J. (1999) Covariance-based weighting for optimal combination of network predictions IEEE

Husmeier, D. (1999) Neural Networks for Conditional Probability Estimation Springer

Husmeier, D., Patton, G.S., McClure, M.O., Harris, J.R.W., Roberts, S.J. (1999) Neural networks for predicting Kaposi's sarcoma Institute of Electrical and Electronics Engineers

Husmeier, D., Roberts, S.J. (1999) Regularisation of RBF-Networks with the Bayesian evidence scheme IEEE

(1999) Statistics and Problem Solving: Computer Based Case Studies from the STEPS Project Arnold

1998

Roberts, S., Husmeier, D., Rezek, L., Penny, W. (1998) Bayesian approaches to Gaussian mixture modeling IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, pp. 1133-1142. (doi: 10.1109/34.730550)

Waller, N. G., Kaiser, H. A., Illian, J. B., Manry, M. (1998) A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms Psychometrika, 63, pp. 5-22. (doi: 10.1007/BF02295433)

Husmeier, D., Taylor, J.G. (1998) Neural networks for predicting conditional probability densities: improved training scheme combining EM and RVFL Neural Networks, 11, pp. 89-116. (doi: 10.1016/S0893-6080(97)00089-0)

Husmeier, D., Penny, W.D., Roberts, S.J. (1998) Empirical evaluation of Bayesian sampling for neural classifiers Springer

Husmeier, D., Althoefer, K. (1998) Modelling conditional probabilities with network committees: how overfitting can be useful Neural Network World, 8, pp. 417-439.

1997

Husmeier, D., Taylor, J.G. (1997) Predicting conditional probability densities of stationary stochastic time series Neural Networks, 10, pp. 479-497. (doi: 10.1016/S0893-6080(96)00062-7)

Husmeier, D., Allen, D., Taylor, J.G. (1997) A universal approximator network for learning conditional probability densities Springer-Verlag

Arslanov, K., Cook, G.T., Gulliksen, S., Harkness, D.D., Kankainen, T., Scott, E.M., Vartanyan, S., Zaitseva, G.I. (1997) Consensus dating of mammoth remains from Wrangel Island Radiocarbon, 40, pp. 289-294. (doi: 10.1017/S0033822200018166)

Husmeier, D., Taylor, J.G. (1997) Modelling conditional probabilities with committees of RVFL networks Springer

Husmeier, D., Taylor, J.G. (1997) Predicting conditional probability densities with the Gaussian mixture - RVFL network Springer

1996

1993

Sanderson, D.C.W., Scott, E.M., Baxter, M.S., Martin, E., Ni Riain, S. (1993) The Use of Aerial Radiometrics for Epidemiological Studies of Leukaemia: a Preliminary Investigation in SW England

1992

Steinhoff, H.J., Schlitter, L., Redhardt, A., Husmeier, D., Zander, N. (1992) Structural fluctuations and conformational entropy in proteins: entropy balance in an intramolecular reaction in methemoglobin Biochimica et Biophysica Acta: Proteins and Proteomics, 1121, pp. 189-198.

Schlitter, J., Husmeier, D. (1992) System relaxation and thermodynamic integration Molecular Simulation, 8, pp. 285-295. (doi: 10.1080/08927029208022483)

1990

Sanderson, D.C.W., Allyson, J.D., Martin, E., Tyler, A.N., Scott, E.M. (1990) An Airborne Gamma Ray Survey of Three Ayrshire Districts

1989

Sanderson, D.C.W., Scott, E.M. (1989) Aerial Radiometric Survey in West Cumbria 1988. Final Report: Project N611

Sanderson, D.C.W., East, B.W., Scott, E.M. (1989) Aerial Radiometric Survey of Parts of North Wales in July 1989

1988

Sanderson, D.C.W., Scott, E.M., Baxter, M.S., Preston, T. (1988) A Feasibility Study of Airborne Radiometric Survey for UK Fallout

Postgraduate students

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