Discrete-time Markov Processes
Discrete-Time Markov Processes is a stochastic process in which the future state depends only on the present state and not on the sequence of preceding states, evolving over discrete time steps according to a fixed set of probabilistic transition rules.
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2017–2026
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Variants
Discrete-time Markov Process
Parents
976
Discrete random signals and statistical signal processing
Miloslav Vošvrda · Automatica · 1993 · 811 citations
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Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
12 h-index
26 publications
792 citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
21 publications
975 citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
24 publications
1.7K citations
Stanford University
Stanford, United States
12 h-index
19 publications
5.4K citations

University of Padua
Padua, Italy
11 h-index
16 publications
606 citations

University of British Columbia
Vancouver, Canada
11 h-index
17 publications
1.3K citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
11 h-index
27 publications
839 citations
Politecnico di Milano
Milan, Italy
11 h-index
24 publications
2.9K citations
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32 publications · 3K citations
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JAP · 46 publications · 2K citations
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18 publications · 1K citations
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AAP · 21 publications · 1.3K citations
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18 publications · 1.4K citations
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