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
https://orcid.org/0000-0002-1857-4454Research 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
Number of items: 63.
2025
Miller, C. and Scott, M. (2025) Improving national water quality monitoring and network design through statistical methods. In: Aston, P. J. (ed.) More UK Success Stories in Industrial Mathematics. Series: Mathematics in Industry (42). Springer Cham. ISBN 9783031486821 (In Press)
2024
Meis, M. et al. (2024) Catalysing virtual collaboration: The experience of the remote TIES working groups. Environmetrics, 35(6), e2855. (doi: 10.1002/env.2855)
Cao Pinna, L. , Miller, C. and Scott, M. (2024) Latent Dirichlet Allocation and Hidden Markov Models to Identify Public Perception of Sustainability in Social Media Data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)
Zou, Z., O'Donnell, R. , Miller, C. , Lee, D. and Wilkie, C. (2024) A computationally efficient spatio-temporal fusion model for reflectance data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)
Shreves, K. V., Saraiva, M., Ruba, T., Miller, C. , Scott, E. M. , McLaggan, D. and van West, P. (2024) Specific phylotypes of Saprolegnia parasitica associated with Atlantic salmon freshwater aquaculture. Journal of Fungi, 10(1), 57. (doi: 10.3390/jof10010057)
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 Thu Nov 7 23:22:26 2024 GMT.
Number of items: 63.
Articles
Meis, M. et al. (2024) Catalysing virtual collaboration: The experience of the remote TIES working groups. Environmetrics, 35(6), e2855. (doi: 10.1002/env.2855)
Shreves, K. V., Saraiva, M., Ruba, T., Miller, C. , Scott, E. M. , McLaggan, D. and van West, P. (2024) Specific phylotypes of Saprolegnia parasitica associated with Atlantic salmon freshwater aquaculture. Journal of Fungi, 10(1), 57. (doi: 10.3390/jof10010057)
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)
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.
Book Sections
Miller, C. and Scott, M. (2025) Improving national water quality monitoring and network design through statistical methods. In: Aston, P. J. (ed.) More UK Success Stories in Industrial Mathematics. Series: Mathematics in Industry (42). Springer Cham. ISBN 9783031486821 (In Press)
Conference or Workshop Item
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.
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
Cao Pinna, L. , Miller, C. and Scott, M. (2024) Latent Dirichlet Allocation and Hidden Markov Models to Identify Public Perception of Sustainability in Social Media Data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)
Zou, Z., O'Donnell, R. , Miller, C. , Lee, D. and Wilkie, C. (2024) A computationally efficient spatio-temporal fusion model for reflectance data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)
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
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,
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,
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,
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 Thu Nov 7 23:22:26 2024 GMT.
Supervision
- Colombo, Pietro
Methodological developments for accounting for uncertainty within environmental data - Liu, Yuan
Sparse Intrinsic Gaussian Processes and Bayesian Optimization in Complex Constrained Domains - Radvanyi, Peter
Statistical Sampling Designs for the Spatiotemporal Modelling of Groundwater Monitoring Data - 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 Thu Nov 7 21:23:03 2024 GMT.
Additional information
Claire Miller Personal Webpage
