Branching Markov Chains
Branching Markov Chains is a stochastic process that extends the classical Markov chain by allowing each state to generate a random number of offspring particles, each evolving independently according to the same transition mechanism, thereby combining the branching structure of population dynamics with the memoryless state transitions of Markovian processes.
256
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13.6K
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306
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212
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2017–2026
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The Theory of Branching Processes
Peter Ney, T. E. Harris · Technometrics · 1965 · 2.5K citations
Engineering, Mathematics, Physics +12
Martingale convergence in the branching random walk
J. D. Biggins · Journal of Applied Probability · 1977 · 311 citations
Engineering, Economics, Mathematics +15
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Steklov Mathematical Institute
Moscow, Russia
12 h-index
15 publications
284 citations
Université Paris Cité
Paris, France
10 h-index
13 publications
824 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
19 publications
976 citations

Sorbonne Université
Paris, France
9 h-index
12 publications
883 citations

Beijing Normal University
Beijing, China
7 h-index
9 publications
198 citations
Russian Academy of Sciences
Moscow, Russia
6 h-index
10 publications
176 citations

Lomonosov Moscow State University
Moscow, Russia
5 h-index
5 publications
129 citations
Chalmers University of Technology
Gothenburg, Sweden
5 h-index
7 publications
279 citations
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34 publications · 1.2K citations
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13 publications · 706 citations
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AAP · 14 publications · 686 citations
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JAP · 12 publications · 623 citations
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11 publications · 602 citations
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