1. Baghishani, H., Rue, H. and Mohammadzadeh, M. (2011), A Data Cloning Algorithm for Computing Maximum Likelihood Estimates in Spatial Generalized Linear Mixed Models, Computational Statistics and Data Analysis, 55, 1748-1759. 2. Baghishani, H., Rue, H., and Mohammadzadeh, M. (2012). On a Hybrid Data Cloning Method and Its Application in Generalized Linear Mixed Models, Statistics and Computing, 22, 613-597. 3. Breslow, N. E., and Clayton, D. G. (1993). Approximate Inference in Generalized Linear Mixed Models, Journal of the American Statistical Association, 88, 9-25. 4. Diggle, P., Tawn, J.A., and Moyeed, R. A. (1998). Model-based geostatistic, Journal of the Royal Statistical Society, Series C. Applied Statistics, 47, 299-350. 5. Eidsvik, J., Martino, S. and Rue, H. (2009), Approximate Bayesian Inference in Spatial Generalized Linear Mixed Models, Scandinavian Journal of Statistics, 36, 1-22. 6. Hosseini, F. (2016), A New Algorithm for Estimating the Parameters of the Spatial Generalized Linear Mixed Models, Environmental and Ecological Statistics, 23, 205-217. 7. Hosseini, F., Eidsvik, J. and Mohammadzadeh, M. (2011). Approximate Bayesian Inference in Spatial GLMM with Skew Normal Latent Variables, Computational Statistics and Data Analysis, 55, 1791-1806. 8. Hosseini, F., and Karimi, O. (2020). Approximate likelihood Inference in Spatial Generalized Linear Mixed Models with Closed Skew Normal latent Variables, Communication in Statistics- Simulation and Computation, 49(1), 121-134. 9. Hosseini, F., and Karimi, O. (2019). Approximate Composite Marginal Likelihood Inference in Spatial Generalized Linear Mixed Models, Journal of Applied Statistics, 46(3), 542-558. 10. Hosseini, F. and Mohammadzadeh, M. (2012). Bayesian Prediction for Spatial GLMM’s with Closed Skew Normal Latent Variables, Australian & New Zealand Journal of Statistics, 54, 43-62. 11. Hosseini, F., Mohammadzadeh, M., and Karimi, O. (2014). Pseudo-likelihood Inference for Discrete Spatial Response (A Case Study of the Semnan rainfall data), Journal of Science Kharazmi University, 13, 797-808. 12. McCullagh, P., and Nelder, J. A. (1989). Generalized linear models, Chapman and Hall, London. 13. Rasmussen, C. E. and Williams, C. K. I., (2006). Gaussian Processes for Machine Learning, the MIT Press. 14. Torabi, M. (2013). Likelihood Inference in Generalized Linear Mixed Measurement Error Models, Computational Statistics & Data Analysis, 57, 549-557. 15. Torabi, M. (2015). Likelihood Inference for Spatial Generalized Linear Mixed Models. Communications in Statistics-Simulation and Computation, 44, 1692-1701. 16. Varin, C., Høst, G. and Skare, Ø. (2005). Pairwise Likelihood Inference in Spatial Generalized Linear Mixed Models, Computational Statistics and Data Analysis, 49, 1173-1191. 17. Zhang, H. (2002). On Estimation and Prediction for Spatial Generalized Linear Mixed Models, Biometrics, 58, 129-136.
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