Extremes on river networks P Asadi, AC Davison, S Engelke | 153 | 2015 |
Estimation of Hüsler–Reiss distributions and Brown–Resnick processes S Engelke, A Malinowski, Z Kabluchko, M Schlather Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015 | 151 | 2015 |
RandomFields: simulation and analysis of random fields M Schlather, A Malinowski, M Oesting, D Boecker, K Strokorb, S Engelke, ... R package version 2, 66, 2013 | 149 | 2013 |
Graphical models for extremes S Engelke, AS Hitz Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 139 | 2020 |
Exact simulation of max-stable processes C Dombry, S Engelke, M Oesting Biometrika 103 (2), 303-317, 2016 | 126 | 2016 |
Sparse structures for multivariate extremes S Engelke, J Ivanovs Annual Review of Statistics and Its Application 8, 241-270, 2021 | 86 | 2021 |
Evaluating the dependence structure of compound precipitation and wind speed extremes J Zscheischler, P Naveau, O Martius, S Engelke, CC Raible Earth system dynamics 12 (1), 1-16, 2021 | 59 | 2021 |
Causal discovery in heavy-tailed models N Gnecco, N Meinshausen, J Peters, S Engelke The Annals of Statistics 49 (3), 1755-1778, 2021 | 52 | 2021 |
Extreme value theory for anomaly detection–the GPD classifier E Vignotto, S Engelke Extremes 23 (4), 501-520, 2020 | 51* | 2020 |
Synergy effect between convolutional neural networks and the multiplicity of SMILES for improvement of molecular prediction TB Kimber, S Engelke, IV Tetko, E Bruno, G Godin arXiv preprint arXiv:1812.04439, 2018 | 50 | 2018 |
Gradient boosting for extreme quantile regression J Velthoen, C Dombry, JJ Cai, S Engelke Extremes 26 (4), 639-667, 2023 | 48 | 2023 |
Generalized Pickands constants and stationary max-stable processes K Dȩbicki, S Engelke, E Hashorva Extremes 20, 493-517, 2017 | 45 | 2017 |
An equivalent representation of the Brown–Resnick process S Engelke, Z Kabluchko, M Schlather Statistics & probability letters 81 (8), 1150-1154, 2011 | 39 | 2011 |
Extremal dependence of random scale constructions S Engelke, T Opitz, J Wadsworth Extremes 22 (4), 623-666, 2019 | 38 | 2019 |
Extremal behaviour of aggregated data with an application to downscaling S Engelke, R De Fondeville, M Oesting Biometrika 106 (1), 127-144, 2019 | 37 | 2019 |
Optimal regionalization of extreme value distributions for flood estimation P Asadi, S Engelke, AC Davison Journal of Hydrology 556, 182-193, 2018 | 37 | 2018 |
Structure learning for extremal tree models S Engelke, S Volgushev Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 35 | 2022 |
Dependence properties of spatial rainfall extremes and areal reduction factors PD Le, AC Davison, S Engelke, M Leonard, S Westra Journal of hydrology 565, 711-719, 2018 | 32 | 2018 |
Bayesian inference for multivariate extreme value distributions C Dombry, S Engelke, M Oesting | 30 | 2017 |
A unifying approach to fractional Lévy processes S Engelke, JHC Woerner Stochastics and Dynamics 13 (02), 1250017, 2013 | 29 | 2013 |