Empirical Bayes and Selective Inference

Abstract We review the empirical Bayes approach to large-scale inference. In context of problem inference for a high-dimensional normal mean, methods are advocated as they exhibit risk-reducing shrinkage, while establishing appropriate control frequentist properties elucidate these and evaluate protection that provides against selection bias.