Dimitrios Roxanas

Proximal Empirical Bayes for Sparse Regression with Posterior Decision Support

In this work, we revisit estimation and variable selection in sparse Gaussian regression, possibly under affine constraints. We adopt a middle-ground approach between optimisation and fully hierarchical Bayesian methods, preserving much of the computational efficiency of the former while adding posterior uncertainty qu...