Default Priors
Default Priors is a method in Bayesian statistics that specifies prior distributions automatically based on theoretical desiderata such as invariance, minimal informativeness, or reference properties, rather than on subjective or empirical information.
86
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11.6K
Citations
196
Authors
132
Institutions
Publications per year
2017–2026
31
86
Mixtures of <i>g</i> Priors for Bayesian Variable Selection
Feng Liang, Rui Paulo, Germán Molina et al. · Journal of the American Statistical Association · 2008 · 1.1K citations
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132

Tilburg University
Tilburg, The Netherlands
5 h-index
9 publications
759 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
7 publications
501 citations
University College London
London, United Kingdom
4 h-index
6 publications
435 citations
Utrecht University
Utrecht, The Netherlands
4 h-index
7 publications
393 citations
Columbia University
New York, United States
4 h-index
10 publications
11.5K citations
Duke University
Durham, United States
4 h-index
4 publications
308 citations
University of California, Davis
Davis, United States
4 h-index
9 publications
542 citations

University of Cagliari
Cagliari, Italy
4 h-index
8 publications
134 citations
1–8 of 132
7 publications · 3K citations
7
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5 publications · 777 citations
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Repository · 4 publications · 156 citations
4
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CJS · 4 publications · 143 citations
4
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Repository · 2 publications · 26 citations
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