REFERENCES
- Casella, G. and E. I. George 1992. Explaining the Gibbs sampler. The American Statistician 46; 167–74.
- Chib, S. and E. Greenberg 1995. Understanding the Metropolis Hastings algorithm. The American Statistician 49; 327–35.
- Gelman, A., J. B. Carlin, H. S., Stern, and D.B. Rubin 2003. Bayesian data analysis, 2nd ed. Boca Raton; FL: Chapman and Hall.
- Graves, T. L. 2003. An introduction to YADAS. Available at http://yadas.lanl.gov ( accessed March 15, 2013).
- Graves, T. L. 2007. Design ideas for Markov chain Monte Carlo software. Journal of Computational and Graphical Statistics, 16; 24–43.
- McCullagh, P. and J. A. Nelder 1989. Generalized linear models, 2nd ed. London: Chapman & Hall.
- Nelson, W. 1990. Accelerated testing statistical models, test plans and data analysis. New York: Wiley.
- R Development Core Team. 2004. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.R-project.org. ( accessed March 15, 2013).