Bayesian Severity Modeling
Bayesian Severity Modeling is a statistical modeling framework within claims severity analysis that employs Bayesian inference to estimate and update the probability distribution of claim amounts by incorporating prior knowledge and observed data.
11
Publications
1.1K
Citations
24
Authors
25
Institutions
Publications per year
2017–2026
2
Parents
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The University of Texas at Austin
Austin, United States
3 h-index
6 publications
1.3K citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
33 citations

Victoria University of Wellington
Wellington, New Zealand
1 h-index
1 publications
13 citations

University of Tulsa
Tulsa, United States
1 h-index
1 publications
41 citations
Liverpool John Moores University
Liverpool, United Kingdom
1 h-index
1 publications
203 citations
Hemorio
Rio de Janeiro, Brazil
1 h-index
1 publications
32 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
33 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
33 citations
1–8 of 25
2 publications · 524 citations
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TRR · 2 publications · 248 citations
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1 publications · 39 citations
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Repository · 1 publications · 33 citations
1
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1 publications · 41 citations
1
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