| [Akaike:1973] | H. Akaike. Information theory as an extension of the maximum likelihood principle. In B.N. Petrov and F. Csaki, editors, Second International Symposium on Information Theory, 267-281, Akademiai Kiado, Budapest, 1973. |
| [Brooks:2000] | S.P. Brooks, E.A. Catchpole, and B.J.T. Morgan. Bayesian animal survival estimation. Statistical Science, 15:0, 357-376, 2000. |
| [Burnham:2002] | K.P. Burnham and D.R. Anderson. Model Selection and Multi-Model Inference: A Practical, Information-theoretic Approach. Springer, New York, 2002. |
| [Christakos:2002] | G. Christakos. On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques. Advances in Water Resources, 2002. |
| [Gamerman:1997] |
|
| [Gelman:1996] | A. Gelman, X.L. Meng, and H. Stern. Posterior predictive assessment of model fitness via realized discrepencies with discussion. Statistica Sinica, 6, 1996. |
| [Gelman:2004] | A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin. Bayesian Data Analysis, Second Edition. Chapman and Hall/CRC, Boca Raton, FL, 2004. |
| [Geweke:1992] | J. Geweke. Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In Bernardo et al. [1992], pages 169–193. |
| [Haario:2001] | Heikki Haario, Eero Saksman, and Johanna Tamminen. An adaptive metropolis algorithm. Bernoulli, 70 (2):0, 223-242, 2001. |
| [Ishwaran:2001] | Ishwaran, H. and James, L.F., Gibbs sampling methods for stick-breaking priors, JASA, 96(453), 161-173, 2001. |
| [Jarrett:1979] | R.G. Jarrett. A note on the intervals between coal mining disasters. Biometrika, 66, 191-193, 1979. |
| [Jordan:2004] | Michael I. Jordan. Graphical models. Statist. Sci., 19(1):140–155, 2004. |
| [Kerman:2004] | Kerman, J. and Gelman, A., Fully Bayesian computing, Available at SSRN: http://ssrn.com/abstract=1010387, 2004. |
| [Lauritzen:1990] | S. L. Lauritzen, A.P. Dawid, B. N. Larsen, and H. G. Leimer. Independence properties of directed {M}arkov fields. Networks, 20:0, 491-505, 1990. |
| [Levine:2005] | Richard A. Levine, Zhaoxia Yu, William G. Hanley, and John J.Nitao. Implementing componentwise hastings algorithms. Computational statistics & data analysis, 48:0, 363-389, 2005. |
| [Raftery:1995] | A.E. Raftery and S.M. Lewis. The number of iterations, convergence diagnostics and generic metropolis algorithms. In D.J. Spiegelhalter W.R. Gilks and S. Richardson, editors, Practical Markov Chain Monte Carlo. Chapman and Hall, London, U.K., 1995. |
| [Roberts:2007] | Roberts, Gareth O. and Rosenthal, Jeffrey S.. Implementing componentwise Hastings algorithms, Journal of Applied Probability, 44(2), 458-475, 2007. |
| [Schwarz:1978] | Gideon Schwarz. Estimating the dimension of a model. The Annals of Statistics, 60(2):0, 461-464, 1978. |
| [West:1997] | West, M. and Harrison, J., Bayesian forecasting and dynamic models, Springer, 1997. |
| [Wilkinson:2004] | Wilkinson, D.J. and Yeung, S.K.H., A sparse matrix approach to Bayesian computation in large linear models, Computational statistics & data analysis, 44, 493-516, 2004. |
