Compound Poisson Models

Compound Poisson Models is a stochastic model in claims modeling that belongs to the class of aggregate loss models, distinguished by its formulation of total claims as a sum of random losses occurring at random times governed by a Poisson process.

833

Publications

44.1K

Citations

1.2K

Authors

630

Institutions

Publications per year

2017–2026

92

Authors

1.2K

  1. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    15 publications · 642 citations

    14

    h-index

  2. HU
    Hans U. Gerber

    University of Lausanne, Switzerland

    15 publications · 1.4K citations

    13

    h-index

  3. ZZ
    Zhimin Zhang

    Chongqing University, China

    13 publications · 321 citations

    12

    h-index

  4. AD
    A. D. Barbour

    University of Zurich, Switzerland

    13 publications · 665 citations

    12

    h-index

  5. HY
    Hailiang Yang

    University of Hong Kong, Hong Kong SAR China

    12 publications · 486 citations

    12

    h-index

1–5 of 1.2K

Venues

  1. Journal of Applied Probability

    JAP · 75 publications · 2.7K citations

    29

    h-index

  2. Astin Bulletin

    59 publications · 3K citations

    29

    h-index

  3. Scandinavian Actuarial Journal

    57 publications · 2.5K citations

    28

    h-index

  4. Advances in Applied Probability

    AAP · 32 publications · 1.1K citations

    21

    h-index

  5. Insurance Mathematics and Economics

    29 publications · 1.7K citations

    18

    h-index

1–5