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 2016Show all

5 papers · 1 filter

math.ST2016★ 9 cited

Asymptotic properties of the maximum likelihood estimator for multivariate extreme value distributions

Clement Dombry, Sebastian Engelke, Marco Oesting

Max-stable distributions and processes are important models for extreme events and the assessment of tail risks. The full, multivariate likelihood of a parametric max-stable distri…

stat.AP2016★ 1 cited

Statistical regionalization for estimation of extreme river discharges

Peiman Asadi, Sebastian Engelke, Anthony C. Davison

Regionalization methods have long been used to estimate high return levels of river discharges at ungauged locations on a river network. In these methods, the recorded discharge me…

stat.ME2016

Bayesian inference for multivariate extreme value distributions

Clement Dombry, Sebastian Engelke, Marco Oesting

Statistical modeling of multivariate and spatial extreme events has attracted broad attention in various areas of science. Max-stable distributions and processes are the natural cl…

math.PR2016

Robust bounds in multivariate extremes

Sebastian Engelke, Jevgenijs Ivanovs

Extreme value theory provides an asymptotically justified framework for estimation of exceedance probabilities in regions where few or no observations are available. For multivaria…

math.PR2016★ 2 cited

Generalized Pickands constants and stationary max-stable processes

Krzysztof Dębicki, Sebastian Engelke, Enkelejd Hashorva

Pickands constants play a crucial role in the asymptotic theory of Gaussian processes. They are commonly defined as the limits of a sequence of expectations involving fractional Br…