Multivariate Extreme Value Analysis

Multivariate Extreme Value Analysis is a statistical methodology that extends univariate extreme value theory to simultaneously model the joint tail behavior of multiple interdependent environmental variables, enabling the assessment of compound extreme events.

200

Publications

14.4K

Citations

346

Authors

239

Institutions

Publications per year

2017–2026

34

Authors

346

  1. JA
    Jonathan A. Tawn

    Lancaster University, United Kingdom

    12 publications · 2.5K citations

    12

    h-index

  2. PN
    Philippe Naveau

    Laboratoire des Sciences du Climat et de l'Environnement, France

    6 publications · 295 citations

    6

    h-index

  3. CZ
    Chen Zhou

    Erasmus University Rotterdam, Netherlands

    5 publications · 237 citations

    5

    h-index

  4. HF
    Helena Ferreira

    University of Beira Interior, Portugal

    5 publications · 83 citations

    5

    h-index

  5. JS
    Johan Segers

    UCLouvain, Belgium

    5 publications · 207 citations

    5

    h-index

1–5 of 346

Venues

  1. Extremes

    9 publications · 432 citations

    9

    h-index

  2. Journal of Multivariate Analysis

    8 publications · 342 citations

    8

    h-index

  3. Biometrika

    8 publications · 1.4K citations

    8

    h-index

  4. SSRN Electronic Journal

    Repository · 7 publications · 367 citations

    7

    h-index

  5. Bernoulli

    5 publications · 303 citations

    5

    h-index

1–5