A software review for extreme value analysis

Eric Gilleland, Mathieu Ribatet, Alec G. Stephenson

Research output: Contribution to journalReview articlepeer-review

71 Scopus citations

Abstract

Extreme value methodology is being increasingly used by practitioners from a wide range of fields. The importance of accurately modeling extreme events has intensified, particularly in environmental science where such events can be seen as a barometer for climate change. These analyses require tools that must be simple to use, but must also implement complex statistical models and produce resulting inferences. This document presents a review of the software that is currently available to scientists for the statistical modeling of extreme events. We discuss all software known to the authors, both proprietary and open source, targeting different data types and application areas. It is our intention that this article will simplify the process of understanding the available software, and will help promote the methodology to an expansive set of scientific disciplines.

Original languageEnglish
Pages (from-to)103-119
Number of pages17
JournalExtremes
Volume16
Issue number1
DOIs
StatePublished - Mar 2013
Externally publishedYes

Keywords

  • Extreme value theory
  • Software development
  • Spatial extremes
  • Statistical computing

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