Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior

Chang Liu, Yue Yang, Howard Bondell +1

In the context of a high-dimensional linear regression model, we propose the use of an empirical correlation-adaptive prior that makes use of information in the observed predictor…