Prior Hyperparameter Estimation
Prior Hyperparameter Estimation is a statistical inference method that belongs to the class of empirical Bayes techniques, wherein the hyperparameters of a prior distribution are estimated from observed data rather than specified subjectively or theoretically.
90
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9.6K
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233
Authors
152
Institutions
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2017–2026
29
Parents
90
Conjugate Priors for Exponential Families
Persi Diaconis, Donald Ylvisaker · The Annals of Statistics · 1979 · 716 citations · Full text
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National Institute of Advanced Industrial Science and Technology, Japan
2 publications · 46 citations
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152

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
363 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
5 publications
276 citations
Duke University
Durham, United States
3 h-index
5 publications
211 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
8 publications
398 citations
University of Oxford
Oxford, United Kingdom
2 h-index
5 publications
92 citations
University of Connecticut
Storrs, United States
2 h-index
2 publications
116 citations
University of Washington
Seattle, United States
2 h-index
3 publications
827 citations
The University of Tokyo
Tokyo, Japan
2 h-index
4 publications
73 citations
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Repository · 4 publications · 108 citations
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4 publications · 908 citations
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TPAMI · 4 publications · 704 citations
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4 publications · 125 citations
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3 publications · 379 citations
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