Copula-based Dependence Modeling

Copula-Based Dependence Modeling is a statistical framework that uses copula functions to characterize the dependence structure between multiple hydroclimatic variables in compound flooding analyses, enabling the joint probability assessment of extreme events while separating marginal distributions from their dependence structure.

643

Publications

37.6K

Citations

1.6K

Authors

772

Institutions

Publications per year

2017–2026

319

Authors

1.6K

  1. CC
    Claudia Czado

    Technical University of Munich, Germany

    12 publications · 3.4K citations

    12

    h-index

  2. CD
    Carlo De Michele

    Politecnico di Milano, Italy

    8 publications · 949 citations

    8

    h-index

  3. AB
    András Bàrdossy

    University of Stuttgart, Germany

    8 publications · 1K citations

    8

    h-index

  4. VP
    Vijay P. Singh

    Texas A&M University, United States

    8 publications · 358 citations

    8

    h-index

  5. SK
    Shih‐Chieh Kao

    Oak Ridge National Laboratory, United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 1.6K

Venues

  1. Journal of Hydrology

    20 publications · 1.8K citations

    18

    h-index

  2. Water Resources Research

    19 publications · 2.5K citations

    18

    h-index

  3. Journal of Hydrologic Engineering

    17 publications · 2.4K citations

    15

    h-index

  4. Water Resources Management

    14 publications · 627 citations

    13

    h-index

  5. Water

    15 publications · 316 citations

    13

    h-index

1–5