Bayesian regression with spatio-temporal varying coefficients
We propose a spatio-temporal dependent process with normal marginal distributions. We study its properties and characterise the dependence induced. We further use this construction as a prior distribution for spatio-temporal varying coefficients regression models. We illustrate the performance of our proposal with a study of climate change impact on morbility of some diseases in Mexico.
READ FULL TEXT