Probabilistic Loss Modeling

Probabilistic Loss Modeling is a formal analytical framework within risk transfer that quantifies potential losses through stochastic processes and probability distributions to characterize uncertainty and likelihood of adverse outcomes.

112

Publications

14.9K

Citations

254

Authors

138

Institutions

Publications per year

2017–2026

26

Authors

254

  1. FS
    Fred Spiring

    University of Manitoba, Canada

    3 publications · 171 citations

    3

    h-index

  2. LA
    Léa A. Deleris

    Stanford University, United States

    2 publications · 49 citations

    2

    h-index

  3. DD
    David Dickson

    The University of Melbourne, Australia

    2 publications · 111 citations

    2

    h-index

  4. DB
    Damiano Brigo

    Imperial College London, United Kingdom

    2 publications · 140 citations

    2

    h-index

  5. RT
    Roberto Torresetti

    Intesa Sanpaolo (Italy), Italy

    2 publications · 140 citations

    2

    h-index

1–5 of 254

Venues

  1. Insurance Mathematics and Economics

    10 publications · 602 citations

    10

    h-index

  2. Astin Bulletin

    3 publications · 235 citations

    3

    h-index

  3. Earthquake Engineering & Structural Dynamics

    3 publications · 114 citations

    3

    h-index

  4. The Journal of Operational Risk

    3 publications · 42 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 8.4K citations

    3

    h-index

1–5