Markov Branching Processes

Markov Branching Processes is a stochastic process in which the evolution of a population over time follows a Markov property, such that the future state depends only on the current state and not on the past, while individuals reproduce and die independently according to probabilistic rules that define the branching mechanism.

438

Publications

24.8K

Citations

436

Authors

277

Institutions

Publications per year

2017–2026

21

Variants

Markovian Branching Processes

Authors

436

  1. AG
    Anthony G. Pakes

    The University of Western Australia, Australia

    25 publications · 611 citations

    17

    h-index

  2. VV
    Vladimir Vatutin

    Steklov Mathematical Institute, Russia

    23 publications · 556 citations

    16

    h-index

  3. AC
    Anyue Chen

    University of Greenwich, United Kingdom

    11 publications · 249 citations

    10

    h-index

  4. KB
    Krishna B. Athreya

    Iowa State University, United States

    9 publications · 1.1K citations

    9

    h-index

  5. JL
    Junping Li

    Central South University, China

    8 publications · 137 citations

    8

    h-index

1–5 of 436

Venues

  1. Stochastic Processes and their Applications

    45 publications · 1.8K citations

    25

    h-index

  2. Advances in Applied Probability

    AAP · 37 publications · 1.3K citations

    20

    h-index

  3. Journal of Applied Probability

    JAP · 44 publications · 1.2K citations

    20

    h-index

  4. Theory of Probability and Its Applications

    32 publications · 1.4K citations

    18

    h-index

  5. Probability Theory and Related Fields

    15 publications · 991 citations

    15

    h-index

1–5