Probabilistic Loss Estimation

Probabilistic Loss Estimation is a formal methodology within exposure management that quantifies potential losses by modeling uncertain events through probability distributions, distinguishing itself from deterministic approaches by explicitly accounting for variability and uncertainty in loss outcomes.

56

Publications

2.7K

Citations

131

Authors

87

Institutions

Publications per year

2017–2026

20

Authors

131

  1. KG
    Katsuichiro Goda

    University of Bristol, United Kingdom

    3 publications · 131 citations

    3

    h-index

  2. RD
    Raffaele De Risi

    University of Bristol, United Kingdom

    2 publications · 113 citations

    2

    h-index

  3. YC
    Yuan Chai

    University of Minnesota, United States

    2 publications · 97 citations

    2

    h-index

  4. OD
    Omar D. Cardona

    Universidad Nacional de Colombia, Colombia

    2 publications · 109 citations

    2

    h-index

  5. JW
    Jack W. Baker

    Stanford University, United States

    2 publications · 270 citations

    2

    h-index

1–5 of 131

Venues

  1. Earthquake Engineering & Structural Dynamics

    5 publications · 173 citations

    5

    h-index

  2. Earthquake Spectra

    4 publications · 143 citations

    4

    h-index

  3. Natural Hazards

    2 publications · 125 citations

    2

    h-index

  4. The Annals of Statistics

    2 publications · 25 citations

    2

    h-index

  5. Risk Analysis

    2 publications · 46 citations

    2

    h-index

1–5