3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes
Raphaël Huser, Thomas Opitz, Jennifer Wadsworth
Environmental data science for spatial extremes has traditionally relied heavily on max-stable processes. Even though the popularity of these models has perhaps peaked with statist…
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…
Bridging Asymptotic Independence and Dependence in Spatial Extremes Using Gaussian Scale Mixtures
Raphael Huser, Thomas Opitz, Emeric Thibaud
Gaussian scale mixtures are constructed as Gaussian processes with a random variance. They have non-Gaussian marginals and can exhibit asymptotic dependence unlike Gaussian process…