Large Deviation Principles
Large Deviation Principles is a mathematical framework in probability theory that characterizes the exponential decay rates of probabilities of rare events for sequences of random variables, distinguishing itself by providing a rigorous asymptotic analysis of deviations far from typical behavior.
806
Publications
41.2K
Citations
974
Authors
539
Institutions
Publications per year
2017–2026
123
Parents
806
The large deviation approach to statistical mechanics
Hugo Touchette · Physics Reports · 2009 · 1.9K citations · Full text
1–5 of 806
974
12
h-index
10
h-index
Courant Institute of Mathematical Sciences, United States
10 publications · 643 citations
10
h-index
10
h-index
Institute for Information Transmission Problems, Russia
11 publications · 440 citations
10
h-index
1–5 of 974
539

Centre National de la Recherche Scientifique
Paris, France
36 h-index
120 publications
6.2K citations

Sorbonne Université
Paris, France
20 h-index
51 publications
2.2K citations
Université Paris Cité
Paris, France
20 h-index
28 publications
1.7K citations
Courant Institute of Mathematical Sciences
New York, United States
17 h-index
30 publications
1.8K citations
New York University
New York, United States
15 h-index
28 publications
1.8K citations
Université Paris-Sud
Orsay, France
14 h-index
22 publications
1.2K citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
14 h-index
19 publications
1K citations
University of Science and Technology of China
Hefei, China
13 h-index
30 publications
1.1K citations
1–8 of 539
49 publications · 2.8K citations
31
h-index
36 publications · 1.5K citations
23
h-index
33 publications · 1.8K citations
23
h-index
28 publications · 1.3K citations
19
h-index
24 publications · 1.1K citations
18
h-index
1–5