Conjugate Priors is a formal Bayesian method in which the prior distribution is chosen such that the posterior distribution belongs to the same probability distribution family as the prior, thereby enabling analytical tractability in Bayesian learning through closed-form updates.
262
Publications
20.4K
Citations
469
Authors
293
Institutions
Publications per year
2017–2026
47
Publications
262
Prior distributions for variance parameters in hierarchical models
Andrew Gelman · Econstor (Econstor) · 2004 · 1.6K citations · Full text
Conjugate Priors for Exponential Families
Persi Diaconis, Donald Ylvisaker · The Annals of Statistics · 1979 · 716 citations · Full text
1–5 of 262
Authors
469
- BC
5
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- AA
5
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- JM
5
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- DB
5
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- AE
4
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1–5 of 469
Institutions
293
Carnegie Mellon University
Pittsburgh, United States
7 h-index
11 publications
796 citations
Bocconi University
Milan, Italy
7 h-index
14 publications
564 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
6 publications
223 citations
University of Florida
Gainesville, United States
5 h-index
6 publications
343 citations
University of Connecticut
Storrs, United States
5 h-index
6 publications
910 citations
Zagazig University
Zagazig, Egypt
5 h-index
6 publications
125 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
9 publications
983 citations
Duke University
Durham, United States
5 h-index
6 publications
336 citations
1–8 of 293
Venues
- Journal of the American Statistical Association
25 publications · 1.5K citations
19
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- The Annals of Statistics
13 publications · 1.8K citations
13
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- Communication in Statistics- Theory and Methods
11 publications · 245 citations
11
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- Bayesian Analysis
8 publications · 4.5K citations
8
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
8 publications · 527 citations
8
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1–5