Empirical Process Large Deviations
Empirical Process Large Deviations is a theoretical framework within large deviation theory that characterizes the asymptotic exponential decay rates of probabilities associated with deviations of empirical processes from their typical behavior, distinguished by its focus on path-space large deviations for sequences of stochastic processes indexed by function classes.
36
Publications
1.7K
Citations
46
Authors
32
Institutions
Publications per year
2017–2026
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1–5 of 36
46
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
2 publications · 51 citations
2
h-index
1–5 of 46
32
Leiden University
Leiden, The Netherlands
3 h-index
3 publications
79 citations
Université Paris-Sud
Orsay, France
2 h-index
6 publications
114 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
2 publications
51 citations

Australian National University
Canberra, Australia
2 h-index
2 publications
87 citations
University of Washington
Seattle, United States
2 h-index
2 publications
112 citations

Carleton University
Ottawa, Canada
2 h-index
2 publications
63 citations
Stanford University
Stanford, United States
2 h-index
2 publications
43 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
10 citations
1–8 of 32
12 publications · 601 citations
11
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7 publications · 203 citations
7
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3 publications · 134 citations
3
h-index
1 publications · 277 citations
1
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1 publications · 25 citations
1
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