activity
20242026
collaborators

5 papers

stat.ME2026

Extrapolation of extreme covariates in generalized additive regression using extreme-value theory

Viviana Carcaiso, Sebastian Engelke, Juliette Legrand +1

Predictions with covariates in the tails of the covariate distribution often lack accuracy and are highly uncertain but may be of critical importance in many applications. New cova…

stat.ME2026

Continuous mixtures of Gaussian processes as models for spatial extremes

Lorenzo Dell'Oro, Carlo Gaetan, Thomas Opitz

Spatial modelling of extreme values allows studying the risk of joint occurrence of extreme events at different locations and is of significant interest in climatic and other envir…

stat.AP2026

Spatio-temporal modeling of urban extreme rainfall events at high resolution

Chloé Serre-Combe, Nicolas Meyer, Thomas Opitz +1

Modeling precipitation and its accumulation over time and space is essential for flood risk assessment. In this paper, we analyze rainfall data collected over several years through…

stat.ME2025

Modeling high and low extremes with a novel dynamic spatio-temporal model

Myungsoo Yoo, Likun Zhang, Christopher K. Wikle +1

Extreme environmental events such as severe storms, drought, heat waves, flash floods, and abrupt species collapse have become more prevalent in the earth-atmosphere dynamic system…

math.ST2024

Pareto processes for threshold exceedances in spatial extremes

Clement Dombry, Juliette Legrand, Thomas Opitz

We review some recent development in the theory of spatial extremes related to Pareto Processes and modeling of threshold exceedances. We provide theoretical background, methodolog…