Prior Model Probabilities
Prior Model Probabilities is the formal assignment of initial Bayesian probabilities to competing statistical models, reflecting subjective or objective beliefs about their relative plausibility before observing the data.
359
Publications
27.4K
Citations
972
Authors
521
Institutions
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2017–2026
67
Parents
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Applied Spatial Econometrics: Raising the Bar
J. Paul Elhorst · Spatial Economic Analysis · 2010 · 1.7K citations · Full text
APPROACHES FOR BAYESIAN VARIABLE SELECTION
Edward I. George, Robert E. McCulloch · 1997 · 1.2K citations
1–5 of 359
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University of North Carolina at Chapel Hill, United States
5 publications · 593 citations
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521
University of Cambridge
Cambridge, United Kingdom
12 h-index
25 publications
2.5K citations
University College London
London, United Kingdom
11 h-index
23 publications
806 citations

Johns Hopkins University
Baltimore, United States
9 h-index
17 publications
569 citations
University of California, Berkeley
Berkeley, United States
7 h-index
11 publications
531 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
8 publications
329 citations
University of Washington
Seattle, United States
6 h-index
9 publications
3.5K citations
Stanford University
Stanford, United States
5 h-index
9 publications
112 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
5 publications
155 citations
1–8 of 521
Repository · 6 publications · 108 citations
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6 publications · 474 citations
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6 publications · 214 citations
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6 publications · 1.8K citations
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5 publications · 281 citations
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