Empirical Bayes spatial prediction using a Monte Carlo EM algorithm. - Majid Jafari Khaledi; Firoozeh Rivaz (Stat. Methods Appl., 2009)

Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process. - Hamid Zareifard; Majid Jafari Khaledi (J. Multivar. Anal., 2013)

Estimation in Truncated GLG Model for Ordered Categorical Spatial Data Using the SAEM Algorithm. - Marjan Kaveh; Majid Jafari Khaledi (Commun. Stat. Simul. Comput., 2014)

Bayesian Prediction in Clipped GLG Random Field Using Slice Sampling. - Majid Jafari Khaledi; Hamid Zareifard; Firoozeh Rivaz (J. Stat. Theory Appl., 2014)

Bayesian Analysis of Skew Gaussian Spatial Models Based on Censored Data. - Vahid Tadayon; Majid Jafari Khaledi (Commun. Stat. Simul. Comput., 2015)

A skew Gaussian decomposable graphical model. - Hamid Zareifard; Håvard Rue; Majid Jafari Khaledi; Finn Lindgren (J. Multivar. Anal., 2016)

A non-homogeneous skew-Gaussian Bayesian spatial model. - Hossein Boojari; Majid Jafari Khaledi; Firoozeh Rivaz (Stat. Methods Appl., 2016)

Monte Carlo approximation of likelihood function in spatial GLMMs through an empirical Bayes method. - Firoozeh Rivaz; Majid Jafari Khaledi (Commun. Stat. Simul. Comput., 2017)

Likelihood Inference in A Multivariate Spatial GLMM with Skew Gaussian Random Effects Using the Slice-SAB Algorithm. - Firoozeh Rivaz; Majid Jafari Khaledi (J. Stat. Theory Appl., 2017)

Improving the accuracy of brain activation maps in the group-level analysis of fMRI data utilizing spatiotemporal Gaussian process model. - Azam Saffar; Vahid Malekian; Majid Jafari Khaledi; Yadollah Mehrabi (Biomed. Signal Process. Control., 2021)

Generalized spatial stick-breaking processes. - Omar Dahdouh; Majid Jafari Khaledi (Commun. Stat. Simul. Comput., 2022)