Multitype Birth-death Processes

Multitype Birth-Death Processes is a stochastic process model that extends classical birth-death dynamics by incorporating multiple distinct types of individuals, each with type-specific birth and death rates, thereby allowing for coupled population dynamics across interacting species or categories.

31

Publications

1.2K

Citations

47

Authors

35

Institutions

Publications per year

2017–2026

3

Authors

47

  1. IS
    Ian Saunders

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 41 citations

    2

    h-index

  2. JG
    J. Gani

    Australian National University, Australia

    2 publications · 41 citations

    2

    h-index

  3. TG
    Timothy G. Vaughan

    ETH Zurich, Switzerland

    2 publications · 296 citations

    2

    h-index

  4. JD
    J. D. Biggins

    University of Sheffield, United Kingdom

    2 publications · 257 citations

    2

    h-index

  5. SK
    Samuel Karlin

    Stanford University, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 47

Venues

  1. Advances in Applied Probability

    AAP · 8 publications · 380 citations

    8

    h-index

  2. Journal of Applied Probability

    JAP · 7 publications · 120 citations

    6

    h-index

  3. The Annals of Applied Probability

    4 publications · 88 citations

    4

    h-index

  4. 2

    h-index

  5. Management Science

    1 publications · 47 citations

    1

    h-index

1–5