Bayesian Credibility Theory
Bayesian Credibility Theory is a statistical framework within credibility theory that employs Bayesian inference to update the probability estimate for a risk parameter by combining prior beliefs with observed data, distinguishing itself through the formal incorporation of subjective prior distributions in the estimation process.
63
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5.1K
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98
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63
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2017–2026
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63
That BLUP is a Good Thing: The Estimation of Random Effects
G. K. Robinson · Statistical Science · 1991 · 1.7K citations · Full text
Joel Sobel · The Review of Economic Studies · 1985 · 580 citations
A survey of credibility theory
Baoding Liu · Fuzzy Optimization and Decision Making · 2006 · 448 citations
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63

University of Oslo
Oslo, Norway
3 h-index
3 publications
171 citations
ETH Zurich
Zurich, Switzerland
3 h-index
3 publications
100 citations

Macquarie University
Sydney, Australia
3 h-index
3 publications
59 citations
University of Haifa
Haifa, Israel
3 h-index
3 publications
138 citations

Winterthur Museum Garden and Library
Wilmington, United States
2 h-index
2 publications
75 citations

Universidad de Granada
Granada, Spain
2 h-index
2 publications
46 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
31 citations

Universidad de Las Palmas de Gran Canaria
Las Palmas de Gran Canaria, Spain
2 h-index
4 publications
92 citations
1–8 of 63
11 publications · 362 citations
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8 publications · 374 citations
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8 publications · 246 citations
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NAAJ · 4 publications · 208 citations
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2 publications · 272 citations
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