Bayesian Factor Analysis
Bayesian Factor Analysis is a statistical modeling framework within the class of latent variable models that uses Bayesian inference to estimate latent factors and their loadings by incorporating prior distributions over model parameters, thereby distinguishing itself from classical factor analysis through its probabilistic treatment of uncertainty and parameter estimation.
186
Publications
11K
Citations
488
Authors
307
Institutions
Publications per year
2017–2026
59
186
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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307
Duke University
Durham, United States
8 h-index
24 publications
2.3K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
13 publications
478 citations

Federal Reserve Bank of St. Louis
St Louis, United States
5 h-index
7 publications
450 citations
University of Missouri
Columbia, United States
5 h-index
11 publications
621 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
9 publications
410 citations

International Monetary Fund
Washington D.C., United States
5 h-index
5 publications
1.4K citations

Pennsylvania State University
State College, United States
4 h-index
8 publications
692 citations
Columbia University
New York, United States
4 h-index
6 publications
500 citations
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Repository · 10 publications · 473 citations
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7 publications · 376 citations
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4 publications · 290 citations
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4 publications · 313 citations
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Repository · 4 publications · 124 citations
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