A mean-field variational Bayes algorithm for sparse probit regression that delivers posterior inclusion probabilities and parameter estimates via closed-form coordinate ascent updates.
Bayesian auxiliary variable models for binary and multinomial regression
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Mean-field Variational Bayes for Sparse Probit Regression
A mean-field variational Bayes algorithm for sparse probit regression that delivers posterior inclusion probabilities and parameter estimates via closed-form coordinate ascent updates.