Compound Poisson Processes

A Compound Poisson Process is a stochastic process that generalizes the standard Poisson process by associating each arrival with a random jump size, such that the total value at any time is the sum of a Poisson-distributed number of independent and identically distributed random variables.

957

Publications

52.1K

Citations

1.4K

Authors

693

Institutions

Publications per year

2017–2026

99

Authors

1.4K

  1. HU
    Hans U. Gerber

    University of Lausanne, Switzerland

    15 publications · 1.4K citations

    13

    h-index

  2. AD
    A. D. Barbour

    University of Zurich, Switzerland

    13 publications · 665 citations

    12

    h-index

  3. DP
    David Perry

    University of Haifa, Israel

    11 publications · 269 citations

    11

    h-index

  4. ZZ
    Zhimin Zhang

    Chongqing University, China

    12 publications · 300 citations

    11

    h-index

  5. HY
    Hailiang Yang

    University of Hong Kong, Hong Kong SAR China

    11 publications · 465 citations

    11

    h-index

1–5 of 1.4K

Venues

  1. Journal of Applied Probability

    JAP · 79 publications · 3K citations

    31

    h-index

  2. Astin Bulletin

    54 publications · 2.2K citations

    27

    h-index

  3. Scandinavian Actuarial Journal

    54 publications · 2.3K citations

    27

    h-index

  4. Advances in Applied Probability

    AAP · 34 publications · 1.1K citations

    22

    h-index

  5. Management Science

    20 publications · 3.6K citations

    19

    h-index

1–5