A novel Bayesian approach for variable selection in linear regression models

Konstantin Posch, Maximilian Arbeiter, Jürgen Pilz

We propose a novel Bayesian approach to the problem of variable selection in multiple linear regression models. In particular, we present a hierarchical setting which allows for di…