2022

Elayouty, A., Scott, M. and Miller, C. (2022) Time-varying functional principal components for non-stationary EpCO2 in freshwater systems. Journal of Agricultural, Biological, and Environmental Statistics, 27(3), pp. 506-522. (doi: 10.1007/s13253-022-00494-2)

Gong, M. et al. (2022) Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data. Spatial Statistics, 50, 100615. (doi: 10.1016/j.spasta.2022.100615)

Belmont Osuna, J. , Miller, C. , Scott, M. and Wilkie, C. (2022) A new statistical approach for identifying rare species under imperfect detection. Diversity and Distributions, 28(5), pp. 882-893. (doi: 10.1111/ddi.13495)

2021

Gong, M., Miller, C. , O'Donnell, R. and 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(12), pp. 2521-2536. (doi: 10.1007/s00477-021-02017-w)

McElarney, Y., Rippey, B., Miller, C. , Allen, M. and 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(1), pp. 47-60. (doi: 10.3318/bioe.2021.04)

2020

Romano, E., Diana, A., Miller, C. and O'Donnell, R. (2020) Optimally weighted L2 distances for spatially dependent functional data. Spatial Statistics, 39, 100468. (doi: 10.1016/j.spasta.2020.100468)

Currie, M., Miller, C. , Scott, M. and Hills, A. (2020) Sensitivity Analysis Approaches to Investigate Uncertainty in Process-based Models, with Application to Aquaculture. In: 35th International Workshop on Statistical Modelling 2020, Bilbao, Basque Country, Spain, 20-24 July 2020, pp. 301-304. ISBN 9788413192673

Wilkie, C., Belmont, J., Miller, C. , Scott, M. , August, T. and Taylor, P. (2020) Hierarchical Species Distribution Modelling Across High Dimensional Nested Spatial Scales. In: 35th International Workshop on Statistical Modelling, Bilbao, Spain, 20-24 Jul 2020, pp. 450-453. ISBN 9788413192673

Maberly, S. C. et al. (2020) Global lake thermal regions shift under climate change. Nature Communications, 11, 1232. (doi: 10.1038/s41467-020-15108-z) (PMID:32144247) (PMCID:PMC7060244)

2019

Richardson, J., Feuchtmayr, H., Miller, C. , Hunter, P., Maberly, S. C. and 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) (PMID:31095834) (PMCID:PMC6852574)

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A., Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

2018

Richardson, J. et al. (2018) Effects of multiple stressors on cyanobacteria abundance varies with lake type. Global Change Biology, 24(11), pp. 5044-5055. (doi: 10.1111/gcb.14396) (PMID:30005138)

Elayouty, A., Scott, M. , Miller, C. and Waldron, S. (2018) Functional Principal Component Analysis for Non-stationary Dynamic Time Series. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 84-89.

Gong, M., Miller, C. and Scott, M. (2018) Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 106-111.

Wilkie, C., Miller, C. , Scott, M. , Simis, S., Groom, S., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 207-212.

Spyrakos, E. et al. (2018) Optical types of inland and coastal waters. Limnology and Oceanography, 63(2), pp. 846-870. (doi: 10.1002/lno.10674)

2017

Gallacher, K., Miller, C. , Scott, E.M. , Willows, R., Pope, L. and Douglass, J. (2017) Flow-directed PCA for monitoring networks. Environmetrics, 28(2), e2434. (doi: 10.1002/env.2434) (PMID:28344443) (PMCID:PMC5347935)

2016

Elayouty, A., Scott, M. , Miller, C. , Waldron, S. and 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(1), pp. 65-87. (doi: 10.1007/s10651-015-0329-4)

2015

Ponomarev, D., Miller, C. , Govan, L. , Haig, C. , Wu, O. and Langhorne, P. (2015) Complications following incident stroke resulting in readmissions: an analysis of data from three Scottish health surveys. International Journal of Stroke, 10(6), pp. 911-917. (doi: 10.1111/ijs.12191) (PMID:24206656)

O'Donnell, R., Miller, C. and Scott, E. (2015) Within Lake Clustering of High Resolution Satellite Retrievals: A Functional Data and Clustering Approach. In: 30th International Workshop on Statistical Modelling, Johannes Kepler Universität, Linz, Linz, Austria, 6-10 Jul 2015,

Gong, M., Miller, C. and Scott, E. (2015) Functional PCA for Remotely Sensed Lake Surface Water Temperature Data. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 127-130. (doi: 10.1016/j.proenv.2015.05.015)

Wilkie, C. J., Scott, E. M. , Miller, C. , Tyler, A. N., Hunter, P. D. and Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 123-126. (doi: 10.1016/j.proenv.2015.05.014)

O'Donnell, R.A., Miller, C.A. and Scott, E.M. (2015) Spatially weighted functional clustering of river network data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(3), pp. 491-506. (doi: 10.1111/rssc.12082) (PMID:25926710) (PMCID:PMC4407953)

Finazzi, F., Haggarty, R., Miller, C. , Scott, M. and 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(2), pp. 463-475. (doi: 10.1007/s00477-014-0931-2)

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

2014

Ventrucci, M., Bowman, A. W. , Miller, C. and Gross, J. (2014) Quasi-periodic spatiotemporal models of brain activation in single-trial MEG experiments. Statistical Modelling, 14(5), pp. 417-437. (doi: 10.1177/1471082X14524673)

Elayouty, A., Scott, E. , Miller, C. , Waldron, S. and Franco-Villoria, M. (2014) Visualisation and Modelling of Environmental Sensor Time Series. In: 29th International Workshop on Statistical Modelling, Goettingen, German, 14-18 Jul 2014,

Eze, J.I., Scott, E.M. , Pollock, K.G., Stidson, R., Miller, C.A. and 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(6), pp. 1289-1299. (doi: 10.1017/S0950268813002148) (PMID:24007797)

Miller, C. , Magdalina, A.-M., Willows, R., Bowman, A. , Scott, E. , Lee, D. , Burgess, C., Pope, L., Pannullo, F. and 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) (PMID:23988742)

2013

Finazzi, F., Miller, C. and Scott, E. (2013) A Model-Based Clustering Approach for the Analysis of Environmental Time Series. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Gallacher, K., Miller, C. and Scott, E. (2013) Comparison of GAM, FDA and DFA for Water Quality Data. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Mukherjee, K., Miller, C. , Bowman, A. and Thut, G. (2013) Characterisation and Mixed Effects Models for EEG Signals. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Borthwick, Y., Paul, L., Sneddon, M., McAlpine, L. and 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)

Scott, M. , Miller, C. , Finazzi, F. and Haggarty, R. (2013) Coherency in space of lake and river temperature and water quality records. In: SIS 2013 Statistical Conference: Advances in Latent Variables: Methods, Models and Applications, Brescia, Italy, 19-21 Jun 2013,

2012

Haggarty, R.A., Miller, C.A. , Scott, E.M. , Wyllie, F. and Smith, M. (2012) Functional clustering of water quality data in Scotland. Environmetrics, 23(8), pp. 685-695. (doi: 10.1002/env.2185)

Miller, C. and Bowman, A. (2012) Smooth principal components for investigating changes in covariances over time. Journal of the Royal Statistical Society: Series C (Applied Statistics), 61(5), pp. 693-714. (doi: 10.1111/j.1467-9876.2012.01037.x)

Carvalho, L., Miller, C. , Spears, B.M., Gunn, I.D.M., Bennion, H., Kirika, A. and May, L. (2012) Water quality of Loch Leven: responses to enrichment, restoration and climate change. Hydrobiologia, 681(1), pp. 35-47. (doi: 10.1007/s10750-011-0923-x)

Mukherjee, K., Miller, C. , Bowman, A. and Thut, G. (2012) A Flexible Regression Framework for TMS-EEG Signals. In: 27th International Workshop on Statistical Modelling, Prague, Czech Republic, 16-20 Jul 2012, ISBN 9788026302506

2011

Carvalho, L., Miller, C.A. , Scott, E.M. , Codd, G.A., Davis, P.S. and 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(24), pp. 5353-5358.

Ventrucci, M., Miller, C. , Gross, J. , Schoffelen, J.-M. and Bowman, A. (2011) Spatiotemporal smoothing of single trial MEG data. Journal of Neuroscience Methods, 200(2), pp. 219-228. (doi: 10.1016/j.jneumeth.2011.06.004)

Lee, D. , Ferguson, C. and 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(1), pp. 109-126. (doi: 10.1111/j.1467-985X.2010.00658.x)

Haggarty, R., Miller, C. , Scott, E.M. , Smith, M. and Wyllie, F. (2011) Functional clustering of water quality data in Scotland. In: 26th International Workshop on Statistical Modelling, Valencia, 11-15 July 2011,

Ventrucci, M., Bowman, A. , Miller, C. , Gross, J. and Ghosh, K. (2011) A dipole model for MEG data. In: 26th International Workshop on Statistical Modelling, Valencia, 11-15 Jul 2011,

2010

Haggarty, R. A., Ferguson, C. A., Scott, E. M. , Iroegbu, C. and Stidson, R. (2010) Extreme value theory applied to the definition of bathing water quality discounting limits. Water Research, 44(3), pp. 719-728. (doi: 10.1016/j.watres.2009.10.007)

Magdalina, A., Ferguson, C. , Bowman, A. , Willows, R., Johnson, D., Burgess, C., Pope, L., Scott, E.M. and Lee, D. (2010) Spatiotemporal modelling of nitrate and phosphorus in river catchments for England and Wales. In: 25th International Workshop on Statistical Modelling (IWSM 2010), Glasgow, UK, 5-9 Jul 2010,

2009

Tyler, A. N. et al. (2009) Strategies for monitoring and managing mass populations of toxic cyanobacteria in recreational waters: a multi-interdisciplinary approach. Environmental Health, 8 (Sup, S11. (doi: 10.1186/1476-069X-8-S1-S11)

Lee, D. , Ferguson, C. and Mitchell, R. (2009) Air pollution and health in Scotland: a multicity study. Biostatistics, 10(3), pp. 409-423. (doi: 10.1093/biostatistics/kxp010) (PMID:19377033)

Ferguson, C.A., Bowman, A.W. , Scott, E.M. and Carvalho, L. (2009) Multivariate varying-coefficient models for an ecological system. Environmetrics, 20(4), pp. 460-476. (doi: 10.1002/env.945)

Schyns, F., Paul, L.M., Finlay, K., Ferguson, C. and 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(9), pp. 771-781. (doi: 10.1177/0269215508101758)

2008

Ferguson, C. and Bowman, A. (2008) Nonparametric principal components analysis for ecological data. In: 23rd International Workshop on Statistical Modelling, Utrecht, Netherlands, 7-11 July 2008,

Ferguson, C.A., Carvalho, L., Scott, E.M. , Bowman, A.W. and Kirika, A. (2008) Assessing ecological responses to environmental change using statistical models. Journal of Applied Ecology, 45(1), pp. 193-203. (doi: 10.1111/j.1365-2664.2007.01428.x)

2007

Ferguson, C.A., Bowman, A.W. , Scott, E.M. and Carvalho, L. (2007) Model comparison for a complex ecological system. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170(3), pp. 691-711. (doi: 10.1111/j.1467-985X.2006.00462.x)

Articles

Elayouty, A., Scott, M. and Miller, C. (2022) Time-varying functional principal components for non-stationary EpCO2 in freshwater systems. Journal of Agricultural, Biological, and Environmental Statistics, 27(3), pp. 506-522. (doi: 10.1007/s13253-022-00494-2)

Gong, M. et al. (2022) Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data. Spatial Statistics, 50, 100615. (doi: 10.1016/j.spasta.2022.100615)

Belmont Osuna, J. , Miller, C. , Scott, M. and Wilkie, C. (2022) A new statistical approach for identifying rare species under imperfect detection. Diversity and Distributions, 28(5), pp. 882-893. (doi: 10.1111/ddi.13495)

Gong, M., Miller, C. , O'Donnell, R. and 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(12), pp. 2521-2536. (doi: 10.1007/s00477-021-02017-w)

McElarney, Y., Rippey, B., Miller, C. , Allen, M. and 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(1), pp. 47-60. (doi: 10.3318/bioe.2021.04)

Romano, E., Diana, A., Miller, C. and O'Donnell, R. (2020) Optimally weighted L2 distances for spatially dependent functional data. Spatial Statistics, 39, 100468. (doi: 10.1016/j.spasta.2020.100468)

Maberly, S. C. et al. (2020) Global lake thermal regions shift under climate change. Nature Communications, 11, 1232. (doi: 10.1038/s41467-020-15108-z) (PMID:32144247) (PMCID:PMC7060244)

Richardson, J., Feuchtmayr, H., Miller, C. , Hunter, P., Maberly, S. C. and 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) (PMID:31095834) (PMCID:PMC6852574)

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A., Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

Richardson, J. et al. (2018) Effects of multiple stressors on cyanobacteria abundance varies with lake type. Global Change Biology, 24(11), pp. 5044-5055. (doi: 10.1111/gcb.14396) (PMID:30005138)

Spyrakos, E. et al. (2018) Optical types of inland and coastal waters. Limnology and Oceanography, 63(2), pp. 846-870. (doi: 10.1002/lno.10674)

Gallacher, K., Miller, C. , Scott, E.M. , Willows, R., Pope, L. and Douglass, J. (2017) Flow-directed PCA for monitoring networks. Environmetrics, 28(2), e2434. (doi: 10.1002/env.2434) (PMID:28344443) (PMCID:PMC5347935)

Elayouty, A., Scott, M. , Miller, C. , Waldron, S. and 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(1), pp. 65-87. (doi: 10.1007/s10651-015-0329-4)

Ponomarev, D., Miller, C. , Govan, L. , Haig, C. , Wu, O. and Langhorne, P. (2015) Complications following incident stroke resulting in readmissions: an analysis of data from three Scottish health surveys. International Journal of Stroke, 10(6), pp. 911-917. (doi: 10.1111/ijs.12191) (PMID:24206656)

O'Donnell, R.A., Miller, C.A. and Scott, E.M. (2015) Spatially weighted functional clustering of river network data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(3), pp. 491-506. (doi: 10.1111/rssc.12082) (PMID:25926710) (PMCID:PMC4407953)

Finazzi, F., Haggarty, R., Miller, C. , Scott, M. and 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(2), pp. 463-475. (doi: 10.1007/s00477-014-0931-2)

Ventrucci, M., Bowman, A. W. , Miller, C. and Gross, J. (2014) Quasi-periodic spatiotemporal models of brain activation in single-trial MEG experiments. Statistical Modelling, 14(5), pp. 417-437. (doi: 10.1177/1471082X14524673)

Eze, J.I., Scott, E.M. , Pollock, K.G., Stidson, R., Miller, C.A. and 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(6), pp. 1289-1299. (doi: 10.1017/S0950268813002148) (PMID:24007797)

Miller, C. , Magdalina, A.-M., Willows, R., Bowman, A. , Scott, E. , Lee, D. , Burgess, C., Pope, L., Pannullo, F. and 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) (PMID:23988742)

Borthwick, Y., Paul, L., Sneddon, M., McAlpine, L. and 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)

Haggarty, R.A., Miller, C.A. , Scott, E.M. , Wyllie, F. and Smith, M. (2012) Functional clustering of water quality data in Scotland. Environmetrics, 23(8), pp. 685-695. (doi: 10.1002/env.2185)

Miller, C. and Bowman, A. (2012) Smooth principal components for investigating changes in covariances over time. Journal of the Royal Statistical Society: Series C (Applied Statistics), 61(5), pp. 693-714. (doi: 10.1111/j.1467-9876.2012.01037.x)

Carvalho, L., Miller, C. , Spears, B.M., Gunn, I.D.M., Bennion, H., Kirika, A. and May, L. (2012) Water quality of Loch Leven: responses to enrichment, restoration and climate change. Hydrobiologia, 681(1), pp. 35-47. (doi: 10.1007/s10750-011-0923-x)

Carvalho, L., Miller, C.A. , Scott, E.M. , Codd, G.A., Davis, P.S. and 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(24), pp. 5353-5358.

Ventrucci, M., Miller, C. , Gross, J. , Schoffelen, J.-M. and Bowman, A. (2011) Spatiotemporal smoothing of single trial MEG data. Journal of Neuroscience Methods, 200(2), pp. 219-228. (doi: 10.1016/j.jneumeth.2011.06.004)

Lee, D. , Ferguson, C. and 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(1), pp. 109-126. (doi: 10.1111/j.1467-985X.2010.00658.x)

Haggarty, R. A., Ferguson, C. A., Scott, E. M. , Iroegbu, C. and Stidson, R. (2010) Extreme value theory applied to the definition of bathing water quality discounting limits. Water Research, 44(3), pp. 719-728. (doi: 10.1016/j.watres.2009.10.007)

Tyler, A. N. et al. (2009) Strategies for monitoring and managing mass populations of toxic cyanobacteria in recreational waters: a multi-interdisciplinary approach. Environmental Health, 8 (Sup, S11. (doi: 10.1186/1476-069X-8-S1-S11)

Lee, D. , Ferguson, C. and Mitchell, R. (2009) Air pollution and health in Scotland: a multicity study. Biostatistics, 10(3), pp. 409-423. (doi: 10.1093/biostatistics/kxp010) (PMID:19377033)

Ferguson, C.A., Bowman, A.W. , Scott, E.M. and Carvalho, L. (2009) Multivariate varying-coefficient models for an ecological system. Environmetrics, 20(4), pp. 460-476. (doi: 10.1002/env.945)

Schyns, F., Paul, L.M., Finlay, K., Ferguson, C. and 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(9), pp. 771-781. (doi: 10.1177/0269215508101758)

Ferguson, C.A., Carvalho, L., Scott, E.M. , Bowman, A.W. and Kirika, A. (2008) Assessing ecological responses to environmental change using statistical models. Journal of Applied Ecology, 45(1), pp. 193-203. (doi: 10.1111/j.1365-2664.2007.01428.x)

Ferguson, C.A., Bowman, A.W. , Scott, E.M. and Carvalho, L. (2007) Model comparison for a complex ecological system. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170(3), pp. 691-711. (doi: 10.1111/j.1467-985X.2006.00462.x)

Books

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

Conference Proceedings

Currie, M., Miller, C. , Scott, M. and Hills, A. (2020) Sensitivity Analysis Approaches to Investigate Uncertainty in Process-based Models, with Application to Aquaculture. In: 35th International Workshop on Statistical Modelling 2020, Bilbao, Basque Country, Spain, 20-24 July 2020, pp. 301-304. ISBN 9788413192673

Wilkie, C., Belmont, J., Miller, C. , Scott, M. , August, T. and Taylor, P. (2020) Hierarchical Species Distribution Modelling Across High Dimensional Nested Spatial Scales. In: 35th International Workshop on Statistical Modelling, Bilbao, Spain, 20-24 Jul 2020, pp. 450-453. ISBN 9788413192673

Elayouty, A., Scott, M. , Miller, C. and Waldron, S. (2018) Functional Principal Component Analysis for Non-stationary Dynamic Time Series. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 84-89.

Gong, M., Miller, C. and Scott, M. (2018) Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 106-111.

Wilkie, C., Miller, C. , Scott, M. , Simis, S., Groom, S., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 207-212.

O'Donnell, R., Miller, C. and Scott, E. (2015) Within Lake Clustering of High Resolution Satellite Retrievals: A Functional Data and Clustering Approach. In: 30th International Workshop on Statistical Modelling, Johannes Kepler Universität, Linz, Linz, Austria, 6-10 Jul 2015,

Gong, M., Miller, C. and Scott, E. (2015) Functional PCA for Remotely Sensed Lake Surface Water Temperature Data. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 127-130. (doi: 10.1016/j.proenv.2015.05.015)

Wilkie, C. J., Scott, E. M. , Miller, C. , Tyler, A. N., Hunter, P. D. and Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 123-126. (doi: 10.1016/j.proenv.2015.05.014)

Elayouty, A., Scott, E. , Miller, C. , Waldron, S. and Franco-Villoria, M. (2014) Visualisation and Modelling of Environmental Sensor Time Series. In: 29th International Workshop on Statistical Modelling, Goettingen, German, 14-18 Jul 2014,

Finazzi, F., Miller, C. and Scott, E. (2013) A Model-Based Clustering Approach for the Analysis of Environmental Time Series. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Gallacher, K., Miller, C. and Scott, E. (2013) Comparison of GAM, FDA and DFA for Water Quality Data. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Mukherjee, K., Miller, C. , Bowman, A. and Thut, G. (2013) Characterisation and Mixed Effects Models for EEG Signals. In: 28th International Workshop on Statistical Modelling, Palermo, Italy, 8-12 Jul 2013,

Scott, M. , Miller, C. , Finazzi, F. and Haggarty, R. (2013) Coherency in space of lake and river temperature and water quality records. In: SIS 2013 Statistical Conference: Advances in Latent Variables: Methods, Models and Applications, Brescia, Italy, 19-21 Jun 2013,

Mukherjee, K., Miller, C. , Bowman, A. and Thut, G. (2012) A Flexible Regression Framework for TMS-EEG Signals. In: 27th International Workshop on Statistical Modelling, Prague, Czech Republic, 16-20 Jul 2012, ISBN 9788026302506

Haggarty, R., Miller, C. , Scott, E.M. , Smith, M. and Wyllie, F. (2011) Functional clustering of water quality data in Scotland. In: 26th International Workshop on Statistical Modelling, Valencia, 11-15 July 2011,

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