Bayesian Probit Models
Bayesian Probit Models is a Bayesian statistical model that extends the probit regression framework by incorporating prior distributions on parameters to estimate latent binary outcomes through the assumption of an underlying normal distribution.
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14K
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327
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202
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2017–2026
26
149
Analysis of multivariate probit models
Siddhartha Chib · Biometrika · 1998 · 841 citations
A. Lawrence Gould · Technometrics · 1973 · 586 citations
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Washington University in St. Louis
St Louis, United States
6 h-index
8 publications
4.6K citations
Duke University
Durham, United States
6 h-index
8 publications
458 citations
University of Reading
Reading, United Kingdom
5 h-index
7 publications
528 citations

University of Toronto
Toronto, Canada
5 h-index
6 publications
325 citations
Columbia University
New York, United States
5 h-index
7 publications
227 citations
University of Kent
Canterbury, United Kingdom
4 h-index
4 publications
81 citations
University of Florida
Gainesville, United States
4 h-index
6 publications
181 citations
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
264 citations
1–8 of 202
10 publications · 4.1K citations
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7 publications · 877 citations
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4 publications · 1K citations
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Repository · 4 publications · 135 citations
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3 publications · 219 citations
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