Bayesian Factor Models
Bayesian Factor Models is a statistical modeling framework within the class of factor models that incorporates Bayesian inference to estimate latent factors and model parameters, distinguishing itself by the use of prior distributions and posterior updating to account for uncertainty in factor structure and loading estimates.
198
Publications
12.9K
Citations
452
Authors
275
Institutions
Publications per year
2017–2026
51
Variants
Bayesian Factor Model
Parents
198
Default Bayes factors for ANOVA designs
Jeffrey N. Rouder, Richard D. Morey, Paul L. Speckman et al. · Journal of Mathematical Psychology · 2012 · 1.9K citations · Full text
Sparse Bayesian infinite factor models
Anirban Bhattacharya, David B. Dunson · Biometrika · 2011 · 437 citations · Full text
The foundations of factor analysis
David J. Bartholomew · Biometrika · 1984 · 420 citations
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275
Duke University
Durham, United States
13 h-index
35 publications
2.6K citations

International Monetary Fund
Washington D.C., United States
7 h-index
7 publications
1.4K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
12 publications
463 citations

BI Norwegian Business School
Oslo, Norway
5 h-index
8 publications
495 citations
University of Chicago
Chicago, United States
5 h-index
13 publications
611 citations
Tinbergen Institute
Rotterdam, The Netherlands
5 h-index
5 publications
202 citations
Centre for Economic Policy Research
London, United Kingdom
5 h-index
5 publications
494 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
8 publications
396 citations
1–8 of 275
Repository · 20 publications · 774 citations
14
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9 publications · 468 citations
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Repository · 6 publications · 178 citations
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5 publications · 596 citations
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4 publications · 162 citations
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