Poisson Processes
Poisson Processes is a stochastic process that models the occurrence of events in continuous time, characterized by independent increments and a constant average rate of occurrence, wherein the number of events in any fixed interval follows a Poisson distribution.
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Variants
Poisson Process
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<i>Probability, Random Variables, and Stochastic Processes</i>
A. Papoulis, Joseph G. Hoffman · Physics Today · 1967 · 4.1K citations
Wide area traffic: the failure of Poisson modeling
Vern Paxson, Sally Floyd · IEEE/ACM Transactions on Networking · 1995 · 3.7K citations · Full text
<i>The Theory of Stochastic Processes</i>
D. R. Cox, H. D. Miller, George H. Weiss et al. · Physics Today · 1966 · 3.4K citations
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University of California, Berkeley
Berkeley, United States
36 h-index
99 publications
14.4K citations
Stanford University
Stanford, United States
32 h-index
76 publications
4.7K citations

University of Waterloo
Waterloo, Canada
30 h-index
69 publications
6.2K citations
Columbia University
New York, United States
29 h-index
95 publications
5.3K citations

Cornell University
Ithaca, United States
28 h-index
81 publications
3.4K citations

Centre National de la Recherche Scientifique
Paris, France
28 h-index
114 publications
5.4K citations
AT&T (United States)
Bedminster, United States
28 h-index
50 publications
9.1K citations

The University of Melbourne
Melbourne, Australia
25 h-index
81 publications
2.5K citations
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JAP · 340 publications · 13.2K citations
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103 publications · 12.7K citations
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121 publications · 9.7K citations
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AAP · 208 publications · 8.5K citations
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