Bayesian Modeling
Bayesian Modeling is a statistical modeling framework that characterizes uncertainty in parameters through probability distributions by updating prior beliefs with observed data via Bayes' theorem.
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1.1M
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2017–2026
3.9K
14.4K
Kenneth P. Burnham, David R. Anderson · Sociological Methods & Research · 2004 · 11.6K citations
Donald B. Rubin · Biometrika · 1976 · 9.7K citations
<i>Stan</i> : A Probabilistic Programming Language
Bob Carpenter, Andrew Gelman, Matthew D. Hoffman et al. · Journal of Statistical Software · 2017 · 7.4K citations · Full text
Bayesian Model Selection in Social Research
Adrian E. Raftery · Sociological Methodology · 1995 · 6.9K citations
Computing, Biostatistics, Sociology +17
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University College London
London, United Kingdom
70 h-index
354 publications
42.7K citations
Duke University
Durham, United States
68 h-index
327 publications
29.8K citations
Stanford University
Stanford, United States
65 h-index
232 publications
33.9K citations
University of Washington
Seattle, United States
58 h-index
221 publications
34.8K citations

Imperial College London
London, United Kingdom
57 h-index
205 publications
38K citations
Carnegie Mellon University
Pittsburgh, United States
57 h-index
246 publications
25.3K citations
University of California, Berkeley
Berkeley, United States
57 h-index
222 publications
21.6K citations
University of Chicago
Chicago, United States
55 h-index
124 publications
29.3K citations
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446 publications · 99.1K citations
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188 publications · 20.4K citations
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207 publications · 14.9K citations
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