Birth-death Chains

Birth-Death Chains is a continuous-time Markov chain characterized by transitions that increment or decrement the state by one, representing the birth and death events in a population process.

142

Publications

7.1K

Citations

257

Authors

166

Institutions

Publications per year

2017–2026

14

Variants

Birth-death Processes

Authors

257

  1. PD
    Persi Diaconis

    Stanford University, United States

    4 publications · 388 citations

    4

    h-index

  2. JA
    James Allen Fill

    Johns Hopkins University, United States

    4 publications · 379 citations

    4

    h-index

  3. YM
    Yong-Hua Mao

    Beijing Normal University, China

    3 publications · 63 citations

    3

    h-index

  4. AZ
    Alexander Zeifman

    Vologda State University, Russia

    3 publications · 96 citations

    3

    h-index

  5. LS
    Laurent Saloff‐Coste

    Cornell University, United States

    3 publications · 120 citations

    3

    h-index

1–5 of 257

Venues

  1. Journal of Applied Probability

    JAP · 10 publications · 183 citations

    10

    h-index

  2. Advances in Applied Probability

    AAP · 7 publications · 196 citations

    7

    h-index

  3. The Annals of Applied Probability

    7 publications · 259 citations

    7

    h-index

  4. The Annals of Probability

    6 publications · 619 citations

    6

    h-index

  5. Mathematics of Operations Research

    3 publications · 148 citations

    3

    h-index

1–5