activity
20122023
most citedExtremes on river networks

123 citations · 267 across the 30 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

math.ST2022★ 1 cited

Graphical models for infinite measures with applications to extremes

Sebastian Engelke, Jevgenijs Ivanovs, Kirstin Strokorb

Conditional independence and graphical models are well studied for probability distributions on product spaces. We propose a new notion of conditional independence for any measure…

stat.ME2022★ 1 cited

Statistical Inference for Hüsler-Reiss Graphical Models Through Matrix Completions

Manuel Hentschel, Sebastian Engelke, Johan Segers

The severity of multivariate extreme events is driven by the dependence between the largest marginal observations. The Hüsler-Reiss distribution is a versatile model for this extre…

stat.ME2022★ 27 cited

Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk

Olivier C. Pasche, Sebastian Engelke

Risk assessment for extreme events requires accurate estimation of high quantiles that go beyond the range of historical observations. When the risk depends on the values of observ…

stat.ME2022

Modeling panels of extremes

Debbie J. Dupuis, Sebastian Engelke, Luca Trapin

Extreme value applications commonly employ regression techniques to capture cross-sectional heterogeneity or time-variation in the data. Estimation of the parameters of an extreme…

stat.ME2022★ 2 cited

Extremal Random Forests

Nicola Gnecco, Edossa Merga Terefe, Sebastian Engelke

Classical methods for quantile regression fail in cases where the quantile of interest is extreme and only few or no training data points exceed it. Asymptotic results from extreme…