References
- Ando, T., Zellner, A. (2010). Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques. Bayesian Anal. 5(1):65–96.
- Andrieu, C., Thoms, J. (2008). A tutorial on adaptive MCMC. Stat. Comput. 18(4):343–373.
- Berger, J.O. (1985). Statistical Decision Theory and Bayesian Analysis. Second edition. New York: Springer-Verlag.
- Brooks, S.P. (1998). Markov chain Monte Carlo method and its application. Stat. 47(1):69–100.
- Chan, J.C., Jeliazkov, I. (2009). MCMC estimation of restricted covariance matrices. J. Comput. Graphical Stat. 18:457–480.
- Cressie, N., Tingley, M.P. (2010). Comment: hierarchical statistical modeling for paleoclimate reconstruction. J. Am. Stat. Assoc. 105:895–900.
- Doss, H., Hobert, J.P. (2010). Estimation of Bayes factors in a class of hierarchical random effects models using a geometrically ergodic MCMC algorithm. J. Comput. Graphical Stat. 19:295–312.
- Han, M. (1997). The structure of hierarchical prior distribution and its applications. Chin. Oper. Res. Manage. Sci. 6(3):31–40.
- Han, M. (2007). E-Bayesian estimation of failure probability and its application. Math. Comput. Modell. 45:1272–1279.
- Han, M. (2009). E-Bayesian estimation and hierarchical Bayesian estimation of failure rate. Appl. Math. Modell. 33:1915–1922.
- Lindley, D.V., Smith, A.F.M. (1972). Bayes estimaters for the linear model. J. Royal Stat. Soc. Ser. B. 34:1–41.
- Mao, S.S., Luo, C.B. (1989). Reliability analysis of zero-failure data. Chin. Math. Stat. Appl. Probab. 4(4):489–506.
- Micheas, A.C., Wikle, C.K. (2009). A Bayesian hierarchical nonoverlapping random disc growth model. J. Am. Stat. Assoc. 104:274–283.
- Osei, F.B., Duker, A.A. (2011). Hierarchical Bayesian modeling of the space-time diffusion patterns of cholera epidemic in Kumasi, Ghana. Stat. Neerlandica. 65:84–100.
- Richard, D.M. (2011). A Bayesian hierarchical model for the measurement of working memory capacity. J. Math. Psychol. 55:8–24.