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math.ST2026
Simultaneous Change-Point Inference for High-Dimensional Functional Time Series
Axel Bücher, Colin Decker
We develop a framework for simultaneous change-point inference of high-dimensional functional time series. The observations are modeled as temporally dependent vectors whose coordi…
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…
stat.ME2026
Copulas for Geostatistical Data: Foundations, Modeling Principles and Statistical Inference
Axel Bücher, Nadja Klein
Spatial statistics commonly describes spatial dependence through second-order quantities such as covariance functions and variograms, often within Gaussian random-field models and…