The classical modeling of spatial extremes relies on asymptotic models (ie, max‐stable or r‐
Pareto processes) for block maxima or peaks over high thresholds, respectively. However, at …

Sampling is a technique from which information about the entire population can be inferred.
In case of remote sensing (RS) and geographic information system (GIS), training and test …

This review paper surveys recent development in software implementations for extreme
value analyses since the publication of Stephenson and Gilleland (Extremes 8: 87–109,) …

This work is motivated by the challenge organized for the 10th International Conference on
Extreme-Value Analysis (EVA2017) to predict daily precipitation quantiles at the 99.8 …

For many problems of inference about a marginal distribution function, while the entire
distribution is important, extreme quantiles are of particular interest because rare outcomes …

For many environmental processes, recent studies have shown that the dependence
strength is decreasing when quantile levels increase. This implies that the popular max …

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 …

We provide further results in our simulation study for alternative parameter settings, and also
provide further details and simulation results on the performance of our proposed parametric …

In this work, we develop a constructive modeling framework for extreme threshold
exceedances in repeated observations of spatial fields, based on general product mixtures …

Nonparametric resampling methods such as Direct Sampling are powerful tools to simulate
new datasets preserving important data features such as spatial patterns from observed …