A mean-field variational Bayes algorithm for sparse probit regression that delivers posterior inclusion probabilities and parameter estimates via closed-form coordinate ascent updates.
Ultimate P´ olya gamma samplers– efficient MCMC for possibly imbalanced binary and categorical data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.CO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.