Bayesian Recurrent Event Models
Bayesian Recurrent Event Models is a statistical modeling framework that extends survival analysis by incorporating Bayesian inference to characterize the intensity and dependence structure of recurrent event processes while accounting for uncertainty in model parameters and event occurrence dynamics.
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Publications
430
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42
Authors
26
Institutions
Publications per year
2017–2026
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F. Abdat, Sylvie Leclercq, Xavier Cuny et al. · Accident Analysis & Prevention · 2014 · 49 citations · Full text
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Medical University of South Carolina
Charleston, United States
2 h-index
2 publications
38 citations
Florida State University
Tallahassee, United States
2 h-index
6 publications
154 citations

University of Auckland
Auckland, New Zealand
2 h-index
3 publications
65 citations

Universidad de Santiago de Chile
Santiago, Chile
1 h-index
1 publications
17 citations

Rush University Medical Center
Chicago, United States
1 h-index
1 publications
17 citations

Southwest Jiaotong University
Chengdu, China
1 h-index
1 publications
18 citations
World Water Watch
Portland, United States
1 h-index
1 publications
49 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
19 citations
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2 publications · 48 citations
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2 publications · 45 citations
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2 publications · 133 citations
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2 publications · 31 citations
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TRR · 1 publications · 18 citations
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