Dimitrios Roxanas

Proximal Empirical Bayes for Sparse Regression with Posterior Decision Support

Sparse regression requires both estimation and a decision about which effects to retain. Bayesian shrinkage supplies uncertainty for that decision, but richer prior hierarchies can make calibration and posterior computation demanding. We develop a computationally efficient empirical Bayes framework for Gaussian sparse...