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

We derive objective priors for linear model with independent Student-tt errors with unknown degrees of freedom vv. 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 vva priori.