Simple Birth-death Processes

Simple Birth-Death Processes is a stochastic process in the class of continuous-time Markov chains characterized by transitions that involve only unit increases (births) or unit decreases (deaths) in population size, with constant per-capita birth and death rates that are independent of time and population level beyond the current state.

121

Publications

6K

Citations

215

Authors

156

Institutions

Publications per year

2017–2026

8

Authors

215

  1. EK
    E.G. Kyriakidis

    University of the Aegean, Greece

    3 publications · 97 citations

    3

    h-index

  2. PP
    Prem Puri

    Our Lady's Hospital, Ireland

    3 publications · 118 citations

    3

    h-index

  3. PA
    P. A. P. Moran

    Australian National University, Australia

    2 publications · 94 citations

    2

    h-index

  4. CJ
    Charles J. Mode

    Drexel University, United States

    2 publications · 57 citations

    2

    h-index

  5. MS
    Matthew Spencer

    University of Liverpool, United Kingdom

    2 publications · 36 citations

    2

    h-index

1–5 of 215

Venues

  1. Journal of Applied Probability

    JAP · 14 publications · 385 citations

    12

    h-index

  2. Advances in Applied Probability

    AAP · 9 publications · 270 citations

    9

    h-index

  3. 6

    h-index

  4. Biometrika

    5 publications · 176 citations

    5

    h-index

  5. Mathematical Biosciences

    4 publications · 192 citations

    4

    h-index

1–5