Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155105 | Statistics & Probability Letters | 2008 | 4 Pages |
Abstract
In Bayesian spatially varying parameter models the covariates’ coefficients in a regression model are allowed to change smoothly in space. A Markov random field is adopted as an improper prior distribution for the area-specific spatial effects. We demonstrate that the posterior distribution is a proper probability distribution.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Alexandre Rodrigues, Renato Assunção,