Bayesian model order selection using the Gibbs sampler

A method is described for applying the Gibbs sampler to the problem of evaluating the evidence, or a posteriori probability, of candidate models in a Bayesian model order selection formulation for generalised linear models. The specific example of the discrete Karhunen-Loeve transform is considered