Extreme Value Copulas

Extreme Value Copula is a copula function that models the dependence structure of multivariate extreme events by satisfying the property of max-stability, thereby characterizing the limiting dependence among componentwise maxima of a random vector.

118

Publications

8.5K

Citations

262

Authors

191

Institutions

Publications per year

2017–2026

38

Variants

Extreme Value Copula

Authors

262

  1. JS
    Johan Segers

    UCLouvain, Belgium

    7 publications · 477 citations

    7

    h-index

  2. GS
    Gianfausto Salvadori

    University of Salento, Italy

    5 publications · 790 citations

    5

    h-index

  3. JY
    Jun Yan

    University of Connecticut, United States

    5 publications · 280 citations

    5

    h-index

  4. CG
    Christian Genest

    Université Laval, Canada

    4 publications · 197 citations

    4

    h-index

  5. WF
    Walter Farkas

    University of Zurich, Switzerland

    3 publications · 87 citations

    3

    h-index

1–5 of 262

Venues

  1. Extremes

    7 publications · 277 citations

    7

    h-index

  2. Canadian Journal of Statistics

    CJS · 5 publications · 305 citations

    5

    h-index

  3. SSRN Electronic Journal

    Repository · 4 publications · 75 citations

    4

    h-index

  4. Journal of Multivariate Analysis

    3 publications · 99 citations

    3

    h-index

  5. The Annals of Statistics

    3 publications · 163 citations

    3

    h-index

1–5