2024

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)

2023

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

2022

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)

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)

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)

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

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

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)

2015

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,

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)

2014

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

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)

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)

Articles

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)

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)

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)

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)

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)

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)

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)

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)

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)

Conference Proceedings

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

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,

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,