Poisson Limit Theorems is a fundamental principle in probability theory that characterizes the convergence of the number of rare events in a large number of independent trials to a Poisson distribution under specific scaling conditions.
437
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75.4K
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685
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329
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2017–2026
37
Parents
Publications
437
Confidence limits for small numbers of events in astrophysical data
N. Gehrels · The Astrophysical Journal · 1986 · 2.4K citations
Natural Sciences, Astronomy, Physics +12
1–5 of 437
Authors
685
- AD
16
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7
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1–5 of 685
Institutions
329
University of Zurich
Zurich, Switzerland
10 h-index
10 publications
367 citations
Université Paris Cité
Paris, France
7 h-index
7 publications
216 citations
University of Southern California
Los Angeles, United States
7 h-index
12 publications
500 citations
The University of Melbourne
Melbourne, Australia
7 h-index
8 publications
245 citations
Stanford University
Stanford, United States
7 h-index
10 publications
970 citations
University of British Columbia
Vancouver, Canada
6 h-index
7 publications
572 citations
University of Manchester
Manchester, United Kingdom
6 h-index
7 publications
273 citations
University of Augsburg
Augsburg, Germany
5 h-index
8 publications
212 citations
1–8 of 329
Venues
- Journal of Applied Probability
JAP · 37 publications · 1.6K citations
22
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- The Annals of Probability
27 publications · 1.1K citations
21
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- Journal of the American Statistical Association
16 publications · 3.7K citations
16
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- Advances in Applied Probability
AAP · 16 publications · 539 citations
14
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- American Mathematical Monthly
15 publications · 7.4K citations
13
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