Extreme Dependence

Extreme Dependence is a statistical dependence structure that characterizes the tendency of two or more random variables to exhibit simultaneous extreme deviations in their tails, distinguishing it from general dependence measures by focusing exclusively on asymptotic co-movements in extreme quantiles.

155

Publications

12.4K

Citations

313

Authors

248

Institutions

Publications per year

2017–2026

48

Variants

Tail Dependence

Authors

313

  1. GT
    Georges Tsafack

    Suffolk University, United States

    4 publications · 323 citations

    4

    h-index

  2. DS
    Didier Sornette

    ETH Zurich, Switzerland

    4 publications · 288 citations

    4

    h-index

  3. MA
    Muhammad Abubakr Naeem

    United Arab Emirates University, United Arab Emirates

    4 publications · 372 citations

    4

    h-index

  4. YM
    Yannick Malevergne

    ETH Zurich, Switzerland

    4 publications · 288 citations

    4

    h-index

  5. WM
    Walid Mensi

    Sultan Qaboos University, Oman

    2 publications · 161 citations

    3

    h-index

1–5 of 313

Venues

  1. SSRN Electronic Journal

    Repository · 11 publications · 465 citations

    10

    h-index

  2. Journal of Multivariate Analysis

    8 publications · 381 citations

    8

    h-index

  3. Journal of Econometrics

    6 publications · 753 citations

    6

    h-index

  4. Extremes

    6 publications · 257 citations

    6

    h-index

  5. Statistics & Probability Letters

    5 publications · 175 citations

    5

    h-index

1–5