Cripps, Edward Jerrold; Kohn, Robert; Nott, David J. - 2008
This article proposes a new data-based prior for the error variance in a Gaussian linear regression model, when the model is used for Bayesian variable selection and model averaging. For a given subset of variables in the model, this prior has a mode that is an unbiased estimator of the error...