Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...

Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...

This paper presents the methodology of Markov chain Monte Carlos (MCMC) to statistical inference in Ecometrics. MCMC theory is reviewed and some relevant pratical aspects associated with convergence of the chain are discussed. The most common forms of MCMC using Gibbs sampling and the...