Countable-state Markov Chains
Countable-State Markov Chains is a stochastic process that evolves on a countable state space with the Markov property, distinguishing it from finite or uncountable-state Markov processes by the cardinality and structure of its state set.
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2017–2026
11
Variants
Countable Markov Chains
Parents
258
Symmetric random walks on groups
Harry Kesten · Transactions of the American Mathematical Society · 1959 · 618 citations
Erhan Çınlar · Advances in Applied Probability · 1969 · 410 citations
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University of Maryland, College Park
College Park, United States
7 h-index
9 publications
523 citations

University of Warwick
Coventry, United Kingdom
7 h-index
10 publications
409 citations
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
173 citations

International Islamic University Malaysia
Kuala Lumpur, Malaysia
5 h-index
6 publications
132 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
6 publications
111 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
6 publications
116 citations
Columbia University
New York, United States
4 h-index
4 publications
103 citations
Northeast Catholic College
Merrimack, United States
4 h-index
4 publications
155 citations
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19 publications · 3.4K citations
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JAP · 13 publications · 342 citations
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AAP · 10 publications · 1K citations
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8 publications · 577 citations
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8 publications · 211 citations
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