Max-stable Distributions

Max-Stable Distributions is a class of probability distributions in extreme value theory that are invariant under the operation of taking componentwise maxima, distinguished by their property that the maximum of a sample of independent and identically distributed random vectors, after appropriate linear normalization, follows the same distribution.

90

Publications

6.2K

Citations

126

Authors

99

Institutions

Publications per year

2017–2026

15

Variants

Max-stable Distribution

Authors

126

  1. CD
    Clément Dombry

    Université de Poitiers, France

    7 publications · 273 citations

    7

    h-index

  2. MR
    Mathieu Ribatet

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 1.3K citations

    7

    h-index

  3. MG
    Marc G. Genton

    King Abdullah University of Science and Technology, Saudi Arabia

    6 publications · 298 citations

    6

    h-index

  4. SA
    Simone A. Padoan

    Bocconi University, Italy

    5 publications · 1.1K citations

    5

    h-index

  5. SS
    Stilian Stoev

    University of Michigan, United States

    5 publications · 697 citations

    5

    h-index

1–5 of 126

Venues

  1. Extremes

    6 publications · 227 citations

    6

    h-index

  2. Biometrika

    6 publications · 449 citations

    6

    h-index

  3. Statistics & Probability Letters

    5 publications · 334 citations

    5

    h-index

  4. 3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 111 citations

    3

    h-index

1–5