Copula Density Estimation

Copula Density Estimation is a statistical method that models the joint probability density of multivariate data by separating the marginal distributions from the dependence structure, enabling flexible and nonparametric inference of the underlying copula function.

102

Publications

5.3K

Citations

218

Authors

160

Institutions

Publications per year

2017–2026

38

Authors

218

  1. HM
    Haitham M. Yousof

    Benha University, Egypt

    5 publications · 174 citations

    5

    h-index

  2. TB
    Taoufik Bouezmarni

    Université de Sherbrooke, Canada

    4 publications · 131 citations

    4

    h-index

  3. CC
    Claudia Czado

    Technical University of Munich, Germany

    3 publications · 886 citations

    3

    h-index

  4. MI
    Mohamed Ibrahim

    Damietta University, Egypt

    3 publications · 107 citations

    3

    h-index

  5. CD
    Cees Diks

    University of Amsterdam, Netherlands

    3 publications · 98 citations

    3

    h-index

1–5 of 218

Venues

  1. Journal of Multivariate Analysis

    10 publications · 453 citations

    10

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 5 publications · 825 citations

    5

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 5 publications · 134 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 90 citations

    4

    h-index

  5. SSRN Electronic Journal

    Repository · 4 publications · 136 citations

    4

    h-index

1–5