An MCMC model search algorithm for regression problems

We improve upon the Carlin and Chib MCMC algorithm that searches in model and parameter space. Our proposed algorithm attempts non-uniformly chosen ‘local’ moves in model space and avoids some pitfalls of other existing algorithms. In a series of examples with linear and logistic regression we report evidence that our proposed algorithm performs better than existing algorithms.