Dependence Uncertainty

Dependence Uncertainty is a risk modeling construct that characterizes the ambiguity in the stochastic dependence structure among random variables when the exact multivariate distribution is unknown or cannot be uniquely determined from available data.

57

Publications

3.2K

Citations

106

Authors

73

Institutions

Publications per year

2017–2026

12

Authors

106

  1. RW
    Ruodu Wang

    University of Waterloo, Canada

    13 publications · 493 citations

    11

    h-index

  2. VB
    Valeria Bignozzi

    University of Milano-Bicocca, Italy

    4 publications · 107 citations

    4

    h-index

  3. JC
    Jun Cai

    University of Waterloo, Canada

    4 publications · 138 citations

    4

    h-index

  4. HL
    Haiyan Liu

    Michigan State University, United States

    3 publications · 57 citations

    3

    h-index

  5. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    3 publications · 113 citations

    3

    h-index

1–5 of 106

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 90 citations

    5

    h-index

  2. Insurance Mathematics and Economics

    4 publications · 244 citations

    4

    h-index

  3. Finance and Stochastics

    2 publications · 74 citations

    2

    h-index

  4. Journal of Multivariate Analysis

    2 publications · 99 citations

    2

    h-index

  5. Resources Policy

    2 publications · 75 citations

    2

    h-index

1–5