Extremes Of Dependent Sequences

Extremes of Dependent Sequences is a theoretical framework in extreme value theory that characterizes the asymptotic behavior of extreme values in sequences of random variables exhibiting dependence, distinguished from independent sequences by incorporating mixing conditions or tail dependence structures to model the impact of serial correlation on extreme events.

19

Publications

1.4K

Citations

29

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

29

  1. JD
    Jérôme Dedecker

    Université Paris Cité, France

    2 publications · 94 citations

    2

    h-index

  2. ME
    Mark E. Wohar

    University of Nebraska at Omaha, United States

    1 publications · 59 citations

    1

    h-index

  3. VC
    Valérie Chavez‐Demoulin

    University of Lausanne, Switzerland

    1 publications · 90 citations

    1

    h-index

  4. CP
    Clémentine Prieur

    Laboratoire Jean Kuntzmann, France

    1 publications · 72 citations

    1

    h-index

  5. MS
    Murad S. Taqqu

    Boston University, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 29

Venues

  1. Statistics & Probability Letters

    3 publications · 55 citations

    3

    h-index

  2. Stochastic Processes and their Applications

    3 publications · 126 citations

    3

    h-index

  3. Journal of Statistical Planning and Inference

    2 publications · 40 citations

    2

    h-index

  4. The Annals of Probability

    2 publications · 309 citations

    2

    h-index

  5. Metrika

    1 publications · 492 citations

    1

    h-index

1–5