Copula Distributions

Copula Distributions is a probability distribution model that specifies the dependence structure between random variables by separating the marginal distributions from the joint distribution, allowing the construction of multivariate distributions with arbitrary margins through the use of a copula function.

755

Publications

37.1K

Citations

1.5K

Authors

801

Institutions

Publications per year

2017–2026

233

Authors

1.5K

  1. FD
    Fabrizio Durante

    Free University of Bozen-Bolzano, Italy

    17 publications · 832 citations

    15

    h-index

  2. JF
    Juan Fernández Sánchez

    University of Almería, Spain

    18 publications · 437 citations

    14

    h-index

  3. HM
    Haitham M. Yousof

    Benha University, Egypt

    11 publications · 331 citations

    11

    h-index

  4. MÚ
    Manuel Úbeda-Flores

    University of Almería, Spain

    11 publications · 339 citations

    11

    h-index

  5. CG
    Christian Genest

    Université Laval, Canada

    11 publications · 1.9K citations

    11

    h-index

1–5 of 1.5K

Venues

  1. Journal of Multivariate Analysis

    34 publications · 2.1K citations

    24

    h-index

  2. Insurance Mathematics and Economics

    31 publications · 1.1K citations

    20

    h-index

  3. SSRN Electronic Journal

    Repository · 25 publications · 1.5K citations

    19

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 23 publications · 1K citations

    18

    h-index

  5. Fuzzy Sets and Systems

    21 publications · 406 citations

    14

    h-index

1–5