Conditional Risk Estimation

Conditional Risk Estimation is a risk estimation methodology that quantifies the probability of an adverse event given a specific set of observed conditions or covariates, thereby differentiating itself from unconditional approaches by explicitly incorporating contextual dependencies into the risk assessment.

141

Publications

11K

Citations

594

Authors

266

Institutions

Publications per year

2017–2026

38

Authors

594

  1. MD
    Michel Denuit

    UCLouvain, Belgium

    3 publications · 105 citations

    3

    h-index

  2. AS
    Alexander Shapiro

    Georgia Institute of Technology, United States

    3 publications · 87 citations

    3

    h-index

  3. WD
    W. Dana Flanders

    Emory University, United States

    3 publications · 96 citations

    3

    h-index

  4. MH
    Matthias Heinkenschloss

    Rice University, United States

    2 publications · 48 citations

    2

    h-index

  5. PL
    Percy Liang

    Stanford University, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 594

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 126 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 161 citations

    5

    h-index

  3. Insurance Mathematics and Economics

    5 publications · 176 citations

    5

    h-index

  4. Operations Research Letters

    3 publications · 109 citations

    3

    h-index

  5. SIAM Journal on Optimization

    3 publications · 61 citations

    3

    h-index

1–5