Variational Bayes for Variable Selection with Adaptive Sharing across Populations and Responses

We propose a variational Bayesian framework for variable selection with multiple responses across heterogeneous populations. The prior dependence among the inclusion indicators allows variable-selection information to be shared at different levels across populations and responses, while regression c