ABSTRACT
The choice of the prior distribution is a key aspect of Bayesian analysis. The spatial Student-t regression model poses some challenges when eliciting priors. It is well known that the propriety of the posterior distribution over objective priors is not always guaranteed, whereas the use of proper prior distributions may dominate and bias the posterior analysis. In this paper, we show the conditions under which our proposed reference prior and the two introduced Jeffreys priors yield to a proper posterior distribution. Simulation studies and a real data application are used in order to evaluate the performance of the reference prior.
Disclosure statement
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Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/14498596.2023.2170930
Correction Statement
This article has been republished with minor changes. These changes do not impact the academic content of the article.