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A modeler's guide to extreme value software

16 May 2022
Léo R. Belzile
Christophe Dutang
P. Northrop
Thomas Opitz
ArXiv (abs)PDFHTML
Abstract

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. (2013), here with a focus on numerical challenges. We provide a comparative review by topic and highlight differences in existing routines, along with listing areas where software development is lacking. The online supplement contains two vignettes providing a comparison of implementations of frequentist and Bayesian estimation of univariate extreme value models.

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