3 papers
stat.ME2026
Evidence Synthesis in Probabilistic Extreme Event Attribution: From Attribution Measures to Model Parameters
Erik Haufs, Axel Bücher, Jonas Schröter
Probabilistic extreme event attribution aims to quantify how anthropogenic climate change has altered the likelihood or intensity of a class of extreme events. Existing studies com…
math.ST2026
Extreme Value Analysis based on Blockwise Top-Two Order Statistics
Axel Bücher, Erik Haufs
Extreme value analysis for time series is often based on the block maxima method, in particular for environmental applications. In the classical univariate case, the latter is base…
stat.ME2025
Extrapolating into the Extremes with Minimum Distance Estimation
Alexis Boulin, Erik Haufs
Understanding complex dependencies and extrapolating beyond observations are key challenges in modeling environmental space-time extremes. To address this, we introduce a simplifyi…