Beyond the Gaussian Models

This chapter focuses on the modeling of non-Gaussian probability distributions. The main reason for discussing non-Gaussian models is the fact that spatial data often exhibit properties such as (i) strictly positive values (ii) asymmetric (skewed) probability distributions (iii) long positive tails (e.g., power-law decay of the pdf) and (iv) compact support.