Professor Claire Miller

Professor (Statistics)

telephone: 01413305023
email: Claire.Miller@glasgow.ac.uk

Statistics, School of Mathematics and Statistics, Room 338, The Mathematics and Statistics building, University Place, G12 8SQ

Import to contacts

https://orcid.org/0000-0002-1857-4454

Research interests

My research focusses on developing spatiotemporal statistical and data analytics methodology to address questions motivated by real world problems (typically related to the environment, and usually proposed by external multidisciplinary academic, public sector or industrial collaborators). I am specifically interested in smoothing, functional data analysis, multivariate methods, data fusion and design of monitoring networks. Current projects include: GALLANT (specifically Data and Data Analytics for planning sustainable solutions), data fusion approaches for water quality and soil moisture applications, spatiotemporal modelling and design of groundwater monitoring networks, and river water quality modelling.

Research groups

Publications

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Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007

Number of items: 58.

2023

Sekhar Sen, I. et al. (2023) Geochemical evolution of dissolved trace elements in space and time in the Ramganga River, India. Environmental Monitoring and Assessment, 195(10), 1150. (doi: 10.1007/s10661-023-11665-0) (PMID:37668950) (PMCID:37668950)

Colombo, P., Miller, C. , O'Donnell, R. and Yang, X. (2023) A Multifidelity Framework for Wind Speed Data. In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023, ISBN 9783947323425

Radvanyi, P., Miller, C. , Alexander, C. , Low, M. , Jones, W. R. and Rock, L. (2023) Computationally Efficient Ranking of Groundwater Monitoring Locations. In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023, pp. 332-338. ISBN 9783947323425

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)

Wilkie, C., Ray, S. , Scott, M. and Miller, C. (2021) Bayesian Spatiotemporal Statistical Modelling of Water Quality within Rivers. EGU General Assembly 2021, 19-30 Apr 2021. (doi: 10.5194/egusphere-egu21-10843)

Wilkie, C., Ray, S. , Scott, M. , Miller, C. , Sinha, R. and Bowes, M. (2021) Statistical Downscaling for the Fusion of In-river, Drone and Satellite Water Quality Data in a River Network. 8th Channel Network Conference, 07-09 April 2021.

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)

Ray, S. , Scott, M. and Miller, C. (2020) Developing Statistical Downscaling to Improve Water Quality Understanding and Management in the Ramganga Sub-Basin. JSM 2020, 02-06 Aug 2020.

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)

This list was generated on Sun Oct 1 18:36:34 2023 BST.

Jump to: Articles | Books | Conference or Workshop Item | Conference Proceedings

Number of items: 58.

Articles

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. 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)

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)

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)

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 or Workshop Item

Ray, S. , Scott, M. and Miller, C. (2020) Developing Statistical Downscaling to Improve Water Quality Understanding and Management in the Ramganga Sub-Basin. JSM 2020, 02-06 Aug 2020.

Conference Proceedings

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,

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,

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,

This list was generated on Sun Oct 1 18:36:34 2023 BST.

Supervision

Colombo, Pietro
Methodological developments for accounting for uncertainty within environmental data
Liu, Yuan
Bayesian Optimisation in complex constrained domain
Radvanyi, Peter
Groundwater monitoring design
Stevenson, Amy
Public health benefits and challenges of Glasgow’s transition to climate resilience: Systems science and data analytics
Zheng, Weiyue
Multiscale Data Fusion Method for Soil Moisture Prediction
Zou, Zhaoyuan
Methodological developments in Data Fusion for Environmental Statistics

Professional activities & recognition

Prizes, awards & distinctions

2018: Winner of the 2018 Abdel El-Shawarri Young Research (AEYR) award for outstanding contributions to environmental statistical and quantitative research (The international Environmetrics Society)
2018: Winner for best paper: Gallacher et al. (2017) co-author (TIES-Wiley best paper in the journal Environmetrics award for 2017)

Editorial boards

2016: Environmetrics

Professional & learned societies

2015: Elected Member, International Statistical Institute
2019 - 2022: Elected Member, Royal Statistical Society Council
2011 - 2014: Elected Secretary, Statistical Modelling Society
2017 - 2021: Elected Secretary, The International Environmetrics Society
2016 - 2021: Elected Member, Young Academy of Scotland of the Royal Society of Edinburgh
2016 - 2022: Member, Academic Affairs Advisory Group of the Royal Statistical Society
2021 - 2023: President-Elect, The International Environmetrics Society

Research datasets

Jump to: 2018

Number of items: 1.

2018

Wilkie, C., Miller, C. , Scott, E. M. , O'Donnell, R., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. [Data Collection]

This list was generated on Mon Oct 2 17:00:21 2023 BST.

Additional information

Claire Miller Personal Webpage

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Professor Claire Miller

Research interests

Research groups

Publications

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

Articles

Books

Conference or Workshop Item

Conference Proceedings

Supervision

Professional activities & recognition

Prizes, awards & distinctions

Editorial boards

Professional & learned societies

Research datasets

2018

Additional information