Large Deviations for Diffusions is a theoretical framework within large deviation theory that characterizes the asymptotic behavior of probabilities associated with rare events for diffusion processes by quantifying their exponential decay rates in terms of a governing action functional.
204
Publications
18.4K
Citations
280
Authors
235
Institutions
Publications per year
2017–2026
40
Publications
204
1–5 of 204
Authors
280
- KS
6
h-index
- BD
5
h-index
- MF
5
h-index
- PB
4
h-index
- FC
4
h-index
1–5 of 280
Institutions
235
Centre National de la Recherche Scientifique
Paris, France
17 h-index
33 publications
1.1K citations
Université Paris Cité
Paris, France
10 h-index
15 publications
538 citations
Sorbonne Université
Paris, France
10 h-index
14 publications
458 citations
Sapienza University of Rome
Rome, Italy
6 h-index
7 publications
377 citations
École Normale Supérieure - PSL
Paris, France
6 h-index
9 publications
273 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
6 publications
704 citations
University of Manchester
Manchester, United Kingdom
5 h-index
5 publications
362 citations
Weierstrass Institute for Applied Analysis and Stochastics
Berlin, Germany
5 h-index
7 publications
337 citations
1–8 of 235
Venues
- Probability Theory and Related Fields
22 publications · 1K citations
18
h-index
- Stochastic Processes and their Applications
17 publications · 644 citations
15
h-index
- The Annals of Probability
20 publications · 885 citations
15
h-index
- Journal of Statistical Physics
11 publications · 496 citations
11
h-index
- Journal of Functional Analysis
8 publications · 346 citations
8
h-index
1–5