Loss Distribution Analysis

Loss Distribution Analysis is an actuarial-statistical method in insurance economics that models and estimates the probability distribution of loss outcomes—typically using historical claim frequency and severity data—in order to quantify risk, inform pricing, and support capital and solvency decisions.

856

Publications

43.1K

Citations

1.7K

Authors

749

Institutions

Publications per year

2017–2026

163

Authors

1.7K

  1. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    14 publications · 1.8K citations

    14

    h-index

  2. MD
    Michel Denuit

    UCLouvain, Belgium

    12 publications · 417 citations

    11

    h-index

  3. PS
    Peng Shi

    University of Wisconsin–Madison, United States

    10 publications · 515 citations

    10

    h-index

  4. GW
    Gareth W. Peters

    University College London, United Kingdom

    8 publications · 234 citations

    8

    h-index

  5. KA
    Katrien Antonio

    KU Leuven, Belgium

    8 publications · 498 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. Astin Bulletin

    64 publications · 3.4K citations

    29

    h-index

  2. Insurance Mathematics and Economics

    58 publications · 2.8K citations

    28

    h-index

  3. Scandinavian Actuarial Journal

    46 publications · 1.9K citations

    24

    h-index

  4. SSRN Electronic Journal

    Repository · 36 publications · 1.9K citations

    19

    h-index

  5. North American Actuarial Journal

    NAAJ · 24 publications · 2.5K citations

    18

    h-index

1–5