Efficient sampling for Gaussian linear regression with arbitrary priors

P. Richard Hahn, Jingyu He, Hedibert Lopes

This paper develops a slice sampler for Bayesian linear regression models with arbitrary priors. The new sampler has two advantages over current approaches. One, it is faster than…