| Modelling non-stationary extremes with application to surface level ozone EF Eastoe, JA Tawn Journal of the Royal Statistical Society Series C: Applied Statistics 58 (1 …, 2009 | 214 | 2009 |
| Data science of the natural environment: a research roadmap GS Blair, P Henrys, A Leeson, J Watkins, E Eastoe, S Jarvis, PJ Young Frontiers in Environmental Science 7, 121, 2019 | 87 | 2019 |
| Modelling the distribution of the cluster maxima of exceedances of subasymptotic thresholds EF Eastoe, JA Tawn Biometrika 99 (1), 43-55, 2012 | 76 | 2012 |
| A global climatological model of extreme geomagnetic field fluctuations NC Rogers, JA Wild, EF Eastoe, JW Gjerloev, AWP Thomson Journal of Space Weather and Space Climate 10, 5, 2020 | 53 | 2020 |
| Statistical models for overdispersion in the frequency of peaks over threshold data for a flow series EF Eastoe, JA Tawn Water resources research 46 (2), 2010 | 49 | 2010 |
| Statistical measures of extremal dependence illustrated using measured sea surface elevations from a neighbourhood of coastal locations E Eastoe, S Koukoulas, P Jonathan Ocean engineering 62, 68-77, 2013 | 28 | 2013 |
| A hierarchical model for non‐stationary multivariate extremes: a case study of surface‐level ozone and NOx data in the UK EF Eastoe Environmetrics: The official journal of the International Environmetrics …, 2009 | 27 | 2009 |
| Temporal dynamics between cattle in-stream presence and suspended solids in a headwater catchment JA Terry, CMWH Benskin, EF Eastoe, PM Haygarth Environmental Science: Processes & Impacts 16 (7), 1570-1577, 2014 | 24 | 2014 |
| Flexible covariate representations for extremes E Zanini, E Eastoe, MJ Jones, D Randell, P Jonathan Environmetrics 31 (5), e2624, 2020 | 22 | 2020 |
| Extreme value modelling of water-related insurance claims C Rohrbeck, EF Eastoe, A Frigessi, JA Tawn The Annals of Applied Statistics 12 (1), 246-282, 2018 | 21 | 2018 |
| Modeling the extremes of bivariate mixture distributions with application to oceanographic data S Tendijck, E Eastoe, J Tawn, D Randell, P Jonathan Journal of the American Statistical Association 118 (542), 1373-1384, 2023 | 20 | 2023 |
| A temperature dependent extreme value analysis of UK surface ozone, 1980–2019 L Gouldsbrough, R Hossaini, E Eastoe, PJ Young Atmospheric Environment 273, 118975, 2022 | 20 | 2022 |
| Nonstationarity in peaks‐over‐threshold river flows: A regional random effects model EF Eastoe Environmetrics 30 (5), e2560, 2019 | 19 | 2019 |
| Statistical downscaling for future extreme wave heights in the North Sea R Towe, E Eastoe, J Tawn, P Jonathan | 18 | 2017 |
| A statistical comparison of survival and replacement analyses for the use of censored data in a contaminant air database: A case study from the Canadian Arctic EF Eastoe, CJ Halsall, JE Heffernan, H Hung Atmospheric Environment 40 (34), 6528-6540, 2006 | 16 | 2006 |
| Extreme temperature events on Greenland in observations and the MAR regional climate model AA Leeson, E Eastoe, X Fettweis The Cryosphere 12 (3), 1091-1102, 2018 | 13 | 2018 |
| Statistical models for dependent and non-stationary extreme events E Eastoe PQDT-UK & Ireland, 2007 | 12 | 2007 |
| A penalised piecewise-linear model for non-stationary extreme value analysis of peaks over threshold AM Barlow, E Mackay, E Eastoe, P Jonathan Ocean Engineering 267, 113265, 2023 | 11 | 2023 |
| Modelling the clustering of extreme events for short-term risk assessment R Towe, J Tawn, E Eastoe, R Lamb Journal of Agricultural, Biological and Environmental Statistics 25, 32-53, 2020 | 11 | 2020 |
| Covariate representations for non-stationary extremes E Zanini, E Eastoe, M Jones, D Randell, P Jonathan Environmetrics 31, e2624, 2020 | 9 | 2020 |
