Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151572 | Statistics & Probability Letters | 2015 | 8 Pages |
Abstract
The use of improper priors in the context of Bayesian hierarchical linear mixed models has been studied under the assumption of normality of the random effects. We study the propriety of the posterior under more flexible distributional assumptions and general improper prior structures.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
F.J. Rubio,