Markovian Embedding
Markovian Embedding is a formal framework that extends non-Markovian stochastic processes into higher-dimensional state spaces wherein the augmented process regains the Markov property by embedding historical dependencies into auxiliary variables.
62
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3.7K
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114
Authors
98
Institutions
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2017–2026
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62
Markov Partitions for Axiom A Diffeomorphisms
Rufus Bowen · American Journal of Mathematics · 1970 · 487 citations
Markov partitions and C-diffeomorphisms
Ya. G. Sinaǐ · Functional Analysis and Its Applications · 1968 · 368 citations
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University of Washington
Seattle, United States
4 h-index
5 publications
201 citations
Microsoft (United States)
Redmond, United States
4 h-index
5 publications
289 citations
University of Augsburg
Augsburg, Germany
3 h-index
10 publications
811 citations
New York University
New York, United States
3 h-index
3 publications
91 citations
Courant Institute of Mathematical Sciences
New York, United States
3 h-index
3 publications
160 citations
Technische Universität Berlin
Berlin, Germany
3 h-index
9 publications
319 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
80 citations

University of Bath
Bath, United Kingdom
2 h-index
2 publications
44 citations
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PRE · 4 publications · 167 citations
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3 publications · 54 citations
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2 publications · 57 citations
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2 publications · 33 citations
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PRA · 2 publications · 126 citations
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