extended generalized skew laplace random field: spatial autoregressive and moving average model for prediction of missing data in skew and heavy tailed data

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.