Linear Birth-death Processes

Linear Birth-Death Processes is a continuous-time Markov process in which birth and death rates are proportional to the current population size, distinguishing it from general birth-death processes by its linear dependence of transition rates on population state.

119

Publications

3.7K

Citations

179

Authors

120

Institutions

Publications per year

2017–2026

11

Authors

179

  1. ST
    Simon Tavaré

    University of Cambridge, United Kingdom

    6 publications · 196 citations

    6

    h-index

  2. PP
    Prem Puri

    Our Lady's Hospital, Ireland

    4 publications · 103 citations

    4

    h-index

  3. PJ
    Peter J. Brockwell

    Colorado State University, United States

    4 publications · 188 citations

    4

    h-index

  4. SK
    Samuel Karlin

    Stanford University, United States

    3 publications · 235 citations

    3

    h-index

  5. EO
    Enzo Orsingher

    Sapienza University of Rome, Italy

    3 publications · 189 citations

    3

    h-index

1–5 of 179

Venues

  1. Journal of Applied Probability

    JAP · 21 publications · 533 citations

    13

    h-index

  2. Advances in Applied Probability

    AAP · 10 publications · 259 citations

    10

    h-index

  3. Biometrika

    6 publications · 244 citations

    6

    h-index

  4. Mathematical Biosciences

    4 publications · 50 citations

    4

    h-index

  5. Biometrics

    3 publications · 82 citations

    3

    h-index

1–5