Renewal Process Models
Renewal Process Models is a stochastic modeling framework that belongs to the class of point process models and is distinguished by its assumption of independent and identically distributed inter-event times, used to characterize the probabilistic recurrence of events such as earthquakes or service arrivals in queueing systems.
448
Publications
17.9K
Citations
681
Authors
370
Institutions
Publications per year
2017–2026
38
Variants
Renewal Process Model
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1–5 of 448
681
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University of California, Berkeley, United States
7 publications · 361 citations
7
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6
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5
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5
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1–5 of 681
370
University of Arizona
Tucson, United States
10 h-index
10 publications
1K citations

University of Waterloo
Waterloo, Canada
10 h-index
19 publications
922 citations
University of California, Berkeley
Berkeley, United States
9 h-index
13 publications
471 citations
Columbia University
New York, United States
8 h-index
12 publications
1.2K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
7 h-index
8 publications
222 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
7 h-index
11 publications
704 citations
University of Southern California
Los Angeles, United States
7 h-index
9 publications
654 citations
Stanford University
Stanford, United States
6 h-index
7 publications
198 citations
1–8 of 370
JAP · 41 publications · 1K citations
17
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AAP · 20 publications · 1.7K citations
16
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13 publications · 502 citations
12
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10 publications · 1K citations
10
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9 publications · 289 citations
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