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.
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2017–2026
21
Variants
Markovian Branching Processes
Parents
438
The Theory of Branching Processes
Peter Ney, T. E. Harris · Technometrics · 1965 · 2.5K citations
Engineering, Mathematics, Physics +12
Dynamic Programming and Markov Processes.
H. Kaufman, Ronald A. Howard · American Mathematical Monthly · 1961 · 648 citations
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277
Steklov Mathematical Institute
Moscow, Russia
14 h-index
25 publications
705 citations

Sorbonne Université
Paris, France
12 h-index
12 publications
499 citations

Monash University
Melbourne, Australia
11 h-index
13 publications
380 citations

Beijing Normal University
Beijing, China
11 h-index
17 publications
376 citations

The University of Western Australia
Perth, Australia
10 h-index
14 publications
270 citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
10 h-index
10 publications
440 citations
University of California, Berkeley
Berkeley, United States
9 h-index
11 publications
324 citations

The University of Melbourne
Melbourne, Australia
9 h-index
11 publications
227 citations
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45 publications · 1.8K citations
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AAP · 37 publications · 1.3K citations
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JAP · 44 publications · 1.2K citations
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32 publications · 1.4K citations
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15 publications · 991 citations
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