Bayesian Loss Modeling
Bayesian Loss Modeling is a statistical modeling framework within loss distribution analysis that employs Bayesian inference to estimate and update the parameters of loss severity and frequency distributions by incorporating prior knowledge and observed data.
105
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5.9K
Citations
214
Authors
123
Institutions
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2017–2026
20
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105
Bayesian Loss for Crowd Count Estimation With Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al. · 2019 · 580 citations
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Banaras Hindu University
Varanasi, India
4 h-index
12 publications
315 citations

University of Manitoba
Winnipeg, Canada
3 h-index
5 publications
113 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
6 publications
227 citations
Norwegian University of Science and Technology
Trondheim, Norway
3 h-index
4 publications
135 citations
University of Chicago
Chicago, United States
3 h-index
3 publications
1.1K citations
Met Office
Exeter, United Kingdom
2 h-index
4 publications
228 citations
Roma Tre University
Rome, Italy
2 h-index
2 publications
82 citations

Ferdowsi University of Mashhad
Mashhad, Iran
2 h-index
3 publications
245 citations
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11 publications · 627 citations
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4 publications · 114 citations
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4 publications · 325 citations
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3 publications · 50 citations
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Repository · 3 publications · 114 citations
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