Bayesian Model Specification
Bayesian Model Specification is a formal framework for defining statistical models by specifying a prior distribution over model parameters and a likelihood function, thereby distinguishing itself from classical model specification through its incorporation of prior knowledge and probabilistic inference.
413
Publications
35.7K
Citations
1.3K
Authors
635
Institutions
Publications per year
2017–2026
140
Parents
413
1–5 of 413
1.3K
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Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina
4 publications · 221 citations
4
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1–5 of 1.3K
635
University College London
London, United Kingdom
9 h-index
10 publications
662 citations

University of British Columbia
Vancouver, Canada
9 h-index
23 publications
2.8K citations
University of California, Irvine
Irvine, United States
8 h-index
14 publications
431 citations
Utrecht University
Utrecht, The Netherlands
8 h-index
20 publications
5.4K citations
North Carolina State University
Raleigh, United States
8 h-index
11 publications
546 citations
University of Missouri
Columbia, United States
7 h-index
11 publications
528 citations
Indiana University Bloomington
Bloomington, United States
7 h-index
12 publications
840 citations
Duke University
Durham, United States
7 h-index
15 publications
1.4K citations
1–8 of 635
Repository · 10 publications · 476 citations
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9 publications · 3K citations
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Repository · 7 publications · 187 citations
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6 publications · 216 citations
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6 publications · 202 citations
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