Scalable Bayesian variable selection and model averaging under block orthogonal design

Omiros Papaspiliopoulos, David Rossell

We propose a scalable algorithmic framework for exact Bayesian variable selection and model averaging in linear models under the assumption that the Gram matrix is block-diagonal,…