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A software review for extreme value analysis

  • Eric Gilleland
  • , Mathieu Ribatet
  • , Alec G. Stephenson
    • Université de Montpellier
    • CSIRO

    Research output: Contribution to journal › Review article › peer-review

    82 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

    Keywords

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

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