Document Type : Original Paper


1 1 Department of Statistics, Higher Education Center of Eghlid, Eghlid, Islamic Republic of Iran

2 2 Department of Statistics, Faculty of Sciences, Shiraz University, Shiraz, Islamic Republic of Iran

3 3 Department of Statistics, Faculty of Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran


In this paper, we define a spatial skew and heavy-tailed random field by an extended version of multivariate generalized skew Laplace distribution. The Bayesian spatial regression model is developed to explain the spatial data. A simulation study is then carried out to validate and evaluate the performance of the proposed model. The application of this model is also demonstrated in an analysis of a geological real data set.