Posterior property of Student-t linear regression model using objective priors

We derive objective priors for linear model with independent Student-t errors with unknown degrees of freedom v. It is shown that most of them preclude the existence of a proper posterior distribution unless we are willing to truncate the possible values of v a priori. (C) 2016 Elsevier B.V. All rights reserved.