Mixed Poisson Processes
Mixed Poisson Processes is a type of counting process in which the intensity measure is itself a random variable, extending the standard Poisson process by allowing for heterogeneity in the arrival rate through a mixing distribution.
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6.7K
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166
Institutions
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2017–2026
19
Variants
Doubly Stochastic Poisson Processes
Parents
128
Estimating Diversity via Frequency Ratios
Amy D. Willis, John Bunge · Biometrics · 2015 · 217 citations
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University of Waterloo
Waterloo, Canada
16 h-index
23 publications
1K citations
University of Copenhagen
Copenhagen, Denmark
4 h-index
4 publications
140 citations
University College London
London, United Kingdom
3 h-index
10 publications
257 citations

Lomonosov Moscow State University
Moscow, Russia
3 h-index
6 publications
284 citations
Duke University
Durham, United States
3 h-index
6 publications
1.4K citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
2 publications
43 citations

Aarhus University
Aarhus, Denmark
2 h-index
3 publications
83 citations

University of Macerata
Macerata, Italy
2 h-index
2 publications
23 citations
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10 publications · 375 citations
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11 publications · 403 citations
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JAP · 8 publications · 269 citations
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4 publications · 102 citations
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3 publications · 96 citations
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