Random Counting Processes
Random Counting Processes is a stochastic process that models the accumulation of discrete events over time, distinguished by the randomness in the timing and occurrence of events, commonly exemplified by phenomena such as Poisson processes in the analysis of counting statistics.
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2017–2026
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Nonparametric Inference for a Family of Counting Processes
Odd O. Aalen · The Annals of Statistics · 1978 · 1.5K citations
Statistical Models Based on Counting Processes.
John Crowley, Ping‐Yu Liu, Per Kragh Andersen et al. · Journal of the American Statistical Association · 1994 · 489 citations
A Simple Counting Chamber for Nannoplankton1
John Lund · Limnology and Oceanography · 1959 · 83 citations
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Columbia University
New York, United States
3 h-index
6 publications
256 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
79 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
87 citations

Hungarian Academy of Sciences
Budapest, Hungary
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2 publications
75 citations
Universidad de Zaragoza
Zaragoza, Spain
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3 publications
44 citations
Mathematical Institute of the Slovak Academy of Sciences
Bratislava, Slovakia
2 h-index
2 publications
31 citations

Medical College of Wisconsin
Milwaukee, United States
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2 publications
49 citations

Uppsala University
Uppsala, Sweden
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2 publications
22 citations
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JAP · 7 publications · 644 citations
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3 publications · 1.5K citations
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3 publications · 44 citations
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AAP · 3 publications · 83 citations
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