Large Deviations For Markov Chains
Large Deviations for Markov Chains is a theoretical framework within probability theory that characterizes the exponential decay rates of probabilities of rare events associated with empirical measures or trajectories of Markov chains, distinguished from other large deviation principles by its focus on dependence structures arising from Markovian dynamics.
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The large deviation approach to statistical mechanics
Hugo Touchette · Physics Reports · 2009 · 1.9K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
24 h-index
62 publications
3.1K citations
Courant Institute of Mathematical Sciences
New York, United States
9 h-index
12 publications
483 citations
Université Paris-Saclay
Gif-sur-Yvette, France
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14 publications
498 citations
Université Paris Cité
Paris, France
8 h-index
11 publications
352 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
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471 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
7 h-index
9 publications
344 citations
CEA Paris-Saclay
Gif-sur-Yvette, France
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9 publications
344 citations
Technion – Israel Institute of Technology
Haifa, Israel
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314 citations
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