Birth-Death Processes is a class of continuous-time Markov process on the non-negative integers in which, from any state, transitions are allowed only to the two neighboring states corresponding to the increment (birth) or decrement (death) of the state index, each occurring at prescribed state-dependent birth and death rates.
2.1K
Publications
97.2K
Citations
2.5K
Authors
1.1K
Institutions
Publications per year
2017–2026
159
Publications
2.1K
An Introduction to Stochastic Modeling
Michael Frey, Howard M. Taylor, Samuel Karlin · Technometrics · 1994 · 1.3K citations
Interaction of Markov processes
Frank Spitzer · Advances in Mathematics · 1970 · 974 citations
1–5 of 2.1K
Authors
2.5K
- EA
19
h-index
- AG
18
h-index
- PJ
15
h-index
- AZ
15
h-index
- SK
14
h-index
1–5 of 2.5K
Institutions
1.1K
University of California, Berkeley
Berkeley, United States
26 h-index
40 publications
2.5K citations
Centre National de la Recherche Scientifique
Paris, France
24 h-index
38 publications
1.3K citations
University of Twente
Enschede, The Netherlands
19 h-index
26 publications
916 citations
Beijing Normal University
Beijing, China
19 h-index
33 publications
831 citations
Cornell University
Ithaca, United States
18 h-index
29 publications
2.6K citations
Sorbonne Université
Paris, France
18 h-index
29 publications
1.6K citations
Université Libre de Bruxelles
Brussels, Belgium
18 h-index
31 publications
1.5K citations
Monash University
Melbourne, Australia
17 h-index
24 publications
686 citations
1–8 of 1.1K
Venues
- Journal of Applied Probability
JAP · 305 publications · 10.7K citations
48
h-index
- The Annals of Probability
94 publications · 7.5K citations
41
h-index
- Advances in Applied Probability
AAP · 140 publications · 5.8K citations
38
h-index
- Stochastic Processes and their Applications
63 publications · 2.3K citations
30
h-index
- The Annals of Mathematical Statistics
31 publications · 3.4K citations
24
h-index
1–5