Empirical Bayes posterior concentration in sparse high-dimensional linear models

Ryan Martin, Raymond Mess, Stephen G. Walker

We propose a new empirical Bayes approach for inference in the $p\gg n$ normal linear model. The novelty is the use of data in the prior in two ways, for centering and regularizat…