Sebastian Engelke

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Marco OestingUniversity of StuttgartVerified email at mathematik.uni-stuttgart.de
Martin SchlatherUniversität MannheimVerified email at uni-mannheim.de
Zakhar KabluchkoUniversity of MünsterVerified email at uni-muenster.de
Jakob ZscheischlerHelmholtz Centre for Environmental Research - UFZVerified email at ufz.de
Anthony DavisonProfessor of Statistics, EPFLVerified email at epfl.ch
Clément Dombryprofesseur en probabilités appliquées et statistiquesVerified email at univ-fcomte.fr
Jevgenijs IvanovsArhus UniversityVerified email at math.au.dk
Nicola GneccoLecturer in Statistics, Imperial College LondonVerified email at imperial.ac.uk
Adrien S. HitzMaterialize.X & AHX.aiVerified email at materializex.com
Stanislav VolgushevUniversity of TorontoVerified email at utstat.toronto.edu
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Olivia MartiusOeschger Centre for Climate Change Research, Institute of Geography, Mobiliar Lab, University ofVerified email at giub.unibe.ch
Philippe NaveauResearcher CNRS LSCE ESTIMRVerified email at lsce.ipsl.fr
Michaël LalancetteUniversité du Québec à MontréalVerified email at uqam.ca
Jasper VelthoenDelft University of TechnologyVerified email at tudelft.nl
Juan Juan CaiAssociate professor of statistics, Vrije Universiteit AmsterdamVerified email at vu.nl
Michael LeonardUniversity of AdelaideVerified email at adelaide.edu.au
Seth WestraUniversity of AdelaideVerified email at adelaide.edu.au
Nicolai MeinshausenProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Eric BrunoFirmenich R&DVerified email at firmenich.com

Sebastian Engelke

Associate Professor, University of Geneva

Verified email at unige.ch - Homepage

statistics extreme value theory machine learning applied probability


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Graphical models for extremes S Engelke, AS Hitz Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020	165	2020
Extremes on river networks P Asadi, AC Davison, S Engelke	160	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	158	2013
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	157	2015
Exact simulation of max-stable processes C Dombry, S Engelke, M Oesting Biometrika 103 (2), 303-317, 2016	130	2016
Sparse structures for multivariate extremes S Engelke, J Ivanovs Annual Review of Statistics and Its Application 8 (1), 241-270, 2021	100	2021
Gradient boosting for extreme quantile regression J Velthoen, C Dombry, JJ Cai, S Engelke Extremes 26 (4), 639-667, 2023	97	2023
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	75	2021
Causal discovery in heavy-tailed models N Gnecco, N Meinshausen, J Peters, S Engelke The Annals of Statistics 49 (3), 1755-1778, 2021	73	2021
Extreme value theory for anomaly detection–the GPD classifier E Vignotto, S Engelke Extremes 23 (4), 501-520, 2020	61*	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	53	2018
Structure learning for extremal tree models S Engelke, S Volgushev Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	48	2022
Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Y Boulaguiem, J Zscheischler, E Vignotto, K van der Wiel, S Engelke Environmental Data Science 1, e5, 2022	47	2022
Extremal dependence of random scale constructions S Engelke, T Opitz, J Wadsworth Extremes 22 (4), 623-666, 2019	46	2019
Optimal regionalization of extreme value distributions for flood estimation P Asadi, S Engelke, AC Davison Journal of Hydrology 556, 182-193, 2018	45	2018
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 random forests N Gnecco, EM Terefe, S Engelke Journal of the American Statistical Association 119 (548), 3059-3072, 2024	36	2024
Extremal behaviour of aggregated data with an application to downscaling S Engelke, R De Fondeville, M Oesting Biometrika 106 (1), 127-144, 2019	36	2019
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	35	2018

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