2 papers
stat.ME2022
Reparameterization of extreme value framework for improved Bayesian workflow
Théo Moins, Julyan Arbel, Stéphane Girard +1
Using Bayesian methods for extreme value analysis offers an alternative to frequentist ones, with several advantages such as easily dealing with parametric uncertainty or studying…
math.ST2022
On the use of a local to improve MCMC convergence diagnostic
Théo Moins, Julyan Arbel, Anne Dutfoy +1
Diagnosing convergence of Markov chain Monte Carlo is crucial and remains an essentially unsolved problem. Among the most popular methods, the potential scale reduction factor, com…