Multivariate Dependence

Multivariate Dependence is a statistical framework that characterizes the structure and strength of stochastic associations among three or more random variables, extending beyond pairwise interactions to capture higher-order interdependencies in a multivariate system.

487

Publications

55.7K

Citations

890

Authors

552

Institutions

Publications per year

2017–2026

91

Authors

890

  1. CC
    Claudia Czado

    Technical University of Munich, Germany

    10 publications · 997 citations

    10

    h-index

  2. MD
    Mathias Drton

    University of Washington, United States

    8 publications · 456 citations

    8

    h-index

  3. HJ
    Harry Joe

    University of British Columbia, Canada

    8 publications · 4.5K citations

    8

    h-index

  4. MS
    Moshe Shaked

    University of Arizona, United States

    7 publications · 633 citations

    7

    h-index

  5. CG
    Christian Genest

    Université Laval, Canada

    5 publications · 1.7K citations

    5

    h-index

1–5 of 890

Venues

  1. 19

    h-index

  2. Biometrika

    17 publications · 10.3K citations

    16

    h-index

  3. Journal of Multivariate Analysis

    22 publications · 845 citations

    16

    h-index

  4. Communication in Statistics- Theory and Methods

    14 publications · 1.1K citations

    12

    h-index

  5. The Annals of Statistics

    12 publications · 1.1K citations

    12

    h-index

1–5