3 papers
stat.ME2020
Advances in Statistical Modeling of Spatial Extremes
Raphaël Huser, Jennifer L. Wadsworth
The classical modeling of spatial extremes relies on asymptotic models (i.e., max-stable processes or -Pareto processes) for block maxima or peaks over high thresholds, respecti…
stat.ME2020
Modeling Non-Stationary Temperature Maxima Based on Extremal Dependence Changing with Event Magnitude
Peng Zhong, Raphaël Huser, Thomas Opitz
The modeling of spatio-temporal trends in temperature extremes can help better understand the structure and frequency of heatwaves in a changing climate. Here, we study annual temp…
stat.ME2019
Spatial hierarchical modeling of threshold exceedances using rate mixtures
Rishikesh Yadav, Raphaël Huser, Thomas Opitz
We develop new flexible univariate models for light-tailed and heavy-tailed data, which extend a hierarchical representation of the generalized Pareto (GP) limit for threshold exce…