Prior Elicitation
Prior Elicitation is a methodological framework within Bayesian model building that systematically translates expert knowledge or external information into a formal prior distribution through structured interrogation, judgment quantification, and statistical modeling to inform subsequent Bayesian inference.
131
Publications
8.8K
Citations
353
Authors
229
Institutions
Publications per year
2017–2026
33
Variants
Prior Probability Elicitation
131
Power prior distributions for regression models
Ming‐Hui Chen, Joseph G. Ibrahim · Statistical Science · 2000 · 737 citations · Full text
Combining Expert Judgments: A Bayesian Approach
Peter A. Morris · Management Science · 1977 · 356 citations
1–5 of 131
353
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University of North Carolina at Chapel Hill, United States
6 publications · 1.5K citations
6
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5
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4
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1–5 of 353
229

Worcester Polytechnic Institute
Worcester, United States
6 h-index
6 publications
1.5K citations
University of Sheffield
Sheffield, United Kingdom
6 h-index
13 publications
449 citations

University of Toronto
Toronto, Canada
5 h-index
12 publications
466 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
14 publications
661 citations
Dana-Farber Cancer Institute
Boston, United States
4 h-index
4 publications
706 citations
Hospital for Sick Children
Toronto, Canada
3 h-index
4 publications
213 citations
Kuwait University
Kuwait City, Kuwait
3 h-index
3 publications
76 citations

University of Liverpool
Liverpool, United Kingdom
3 h-index
10 publications
375 citations
1–8 of 229
11 publications · 461 citations
11
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5 publications · 228 citations
5
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3 publications · 124 citations
3
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3 publications · 52 citations
3
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Repository · 3 publications · 70 citations
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