activity
20122023
most citedExtremal t processes: Elliptical domain of attraction and a spectral representation

129 citations · 367 across the 25 of their papers we have counts for

collaborators

31 papers

math.ST2023

On the perimeter estimation of pixelated excursion sets of 2D anisotropic random fields

Ryan Cotsakis, Elena Di Bernardino, Thomas Opitz

We are interested in creating statistical methods to provide informative summaries of random fields through the geometry of their excursion sets. To this end, we introduce an estim…

stat.ME2022★ 1 cited

Spatial modeling and future projection of extreme precipitation extents

Peng Zhong, Manuela Brunner, Thomas Opitz +1

Extreme precipitation events with large spatial extents may have more severe impacts than localized events as they can lead to widespread flooding. It is debated how climate change…

stat.ME2022

Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning

Yan Gong, Peng Zhong, Thomas Opitz +1

We propose a novel extremal dependence measure called the partial tail-correlation coefficient (PTCC), in analogy to the partial correlation coefficient in classical multivariate a…

stat.ME2022

Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions

Rishikesh Yadav, Raphaël Huser, Thomas Opitz +1

To accurately quantify landslide hazard in a region of Turkey, we develop new marked point process models within a Bayesian hierarchical framework for the joint prediction of lands…

stat.CO2022★ 22 cited

A modeler's guide to extreme value software

Léo R. Belzile, Christophe Dutang, Paul J. Northrop +1

This review paper surveys recent development in software implementations for extreme value analyses since the publication of Stephenson and Gilleland (2006) and Gilleland et al. (2…

stat.ME2021

A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data

Rishikesh Yadav, Raphaël Huser, Thomas Opitz

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