Bayesian Categorical Data Analysis
Bayesian Categorical Data Analysis is a branch of statistical methodology that applies Bayesian inference to categorical data, distinguished by its use of prior distributions and posterior updating for discrete outcomes within hierarchical or multinomial structures.
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5.6K
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282
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176
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2017–2026
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Bayesian Categorical Survival ModelsBayesian Dirichlet-multinomial ModelsBayesian Hurdle ModelsBayesian Latent Class ModelsBayesian Longitudinal Categorical Data AnalysisBayesian Polya Tree ModelsBayesian Smoothing PriorsBayesian Spatial Categorical ModelsBayesian Variational InferenceBayesian Zero-inflated Models
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Bayesian Multivariate Logistic Regression
Sean M. O’Brien, David B. Dunson · Biometrics · 2004 · 185 citations
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Imperial College London
London, United Kingdom
6 h-index
9 publications
1.2K citations
University of Connecticut
Storrs, United States
4 h-index
6 publications
1.4K citations
University of Florida
Gainesville, United States
4 h-index
6 publications
427 citations
National Institute of Environmental Health Sciences
Durham, United States
4 h-index
6 publications
608 citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
5 publications
143 citations
National Center for Health Statistics
Hyattsville, United States
3 h-index
6 publications
144 citations
Instituto Politécnico de Lisboa
Lisbon, Portugal
3 h-index
4 publications
145 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
149 citations
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12 publications · 774 citations
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13 publications · 305 citations
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9 publications · 905 citations
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4 publications · 107 citations
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4 publications · 87 citations
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