Spatial generalized linear mixed model is commonly used to model Non-Gaussian data and the spatial correlation of the data is modelled by latent variables. In this paper, latent variables are modeled using a stationary skew Gaussian random field and a new algorithm based on composite marginal likelihood is presented. The performance of this stationary random field in the model and the proposed algorithm is implemented in a simulation example.
Hosseini F, Karimi O. On Estimation for Spatial Generalized Linear Mixed Models using a Stationary Skew Gaussian Random Field. Andishe 2023; 27 (1) :73-79 URL: http://andisheyeamari.irstat.ir/article-1-891-en.html