Copula Models

Copula Models is a statistical framework that belongs to the class of multivariate probability models and is distinguished by its ability to represent the dependence structure between random variables separately from their marginal distributions through the use of copula functions.

2.7K

Publications

142.6K

Citations

4.8K

Authors

1.9K

Institutions

Publications per year

2017–2026

1K

Variants

Copula Modeling

Authors

4.8K

  1. CG
    Christian Genest

    Université Laval, Canada

    37 publications · 7.5K citations

    31

    h-index

  2. FD
    Fabrizio Durante

    Free University of Bozen-Bolzano, Italy

    41 publications · 1.9K citations

    24

    h-index

  3. CC
    Claudia Czado

    Technical University of Munich, Germany

    40 publications · 5K citations

    23

    h-index

  4. TE
    Takeshi Emura

    National Central University, Taiwan

    28 publications · 772 citations

    19

    h-index

  5. HM
    Haitham M. Yousof

    Benha University, Egypt

    20 publications · 699 citations

    18

    h-index

1–5 of 4.8K

Venues

  1. Journal of Multivariate Analysis

    71 publications · 4.7K citations

    35

    h-index

  2. SSRN Electronic Journal

    Repository · 101 publications · 4.4K citations

    34

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 55 publications · 3.2K citations

    28

    h-index

  4. Insurance Mathematics and Economics

    56 publications · 4.5K citations

    28

    h-index

  5. Water Resources Research

    27 publications · 3.5K citations

    24

    h-index

1–5