### Navigation

- index
- modules |
- previous |
- PyMC 2.2 documentation »

# 13. List of References

[Akaike1973]

8. 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, pages 267–281, Akademiai Kiado, Budapest, 1973.

[Bernardo1992] | J.M. Bernardo, J. Berger, A.P. Dawid, and J.F.M. Smith, editors. Bayesian Statistics 4. Oxford University Press, Oxford, 1992.

[Brooks2000] | S.P. Brooks, E.A. Catchpole, and B.J.T. Morgan. Bayesian animal survival estimation. Statistical Science, 15: 357–376, 2000.

[Burnham2002] | K.P. Burnham and D.R. Anderson. Model Selection and Multi-Model Inference: A Practical, Information-theoretic Approach. Springer, New York, 2002.

[Christakos2002]

7. Christakos. On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques. Advances in Water Resources, 2002.

[Gamerman1997]

4. Gamerman. Markov Chain Monte Carlo: statistical simulation for Bayesian inference. Chapman and Hall, 1997.

[Gelman1992]

1. Gelman and D.R. Rubin. A single series from the Gibbs sampler provides a false sense of security. In Bayesian Statistics (eds. J. Bernardo et al.) 1992, Oxford University Press, 625-31.

[Gelman1996]

1. Gelman, X.L. Meng, and H. Stern. Posterior predictive assessment of model fitness via realized discrepencies with discussion. Statistica Sinica, 6, 1996.

[Gelman2004]

1. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin. Bayesian Data Analysis, Second Edition. Chapman and Hall/CRC, Boca Raton, FL, 2004.

[Geweke1992]

10. Geweke. Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In Bernardo et al. 1992, pages 169–193.

[Haario2001]

8. Haario, E. Saksman, and J. Tamminen. An adaptive metropolis algorithm. Bernoulli, 7(2):223–242, 2001.

[Jarrett1979] | R.G. Jarrett. A note on the intervals between coal mining disasters. Biometrika, 66:191–193, 1979.

[Jaynes2003] | E.T. Jaynes. Probability theory: the logic of science. Cambridge university press, 2003.

[Jordan2004] | M.I. Jordan. Graphical models. Statist. Sci., 19(1):140–155, 2004.

[Kerman2004]

10. Kerman and A. Gelman. Fully Bayesian computing. Available at SSRN: http://ssrn.com/abstract=1010387, 2004.

[Langtangen2009] | Hans Petter Langtangen. Python Scripting for Computational Science. Springer-Verlag, 2009.

[Lauritzen1990] | S.L. Lauritzen, A.P. Dawid, B.N. Larsen, and H.G. Leimer. Independence properties of directed Markov fields. Networks, 20:491–505, 1990.

[Lutz2007]

13. Lutz. Learning Python. O’Reilly, 2007.

[Oberhumer2008] | M.F.X.J. Oberhumer. LZO Real-Time Data Compression Library. 2008. URL http://www.oberhumer.com/opensource/lzo/.

[Plummer2008]

13. Plummer, N. Best, K. Cowles and K. Vines. coda: Output Analysis and Diagnostics for MCMC. R package version 0.13-3, 2008. URL http://CRAN.R-project.org/package=coda.

[R2010] | R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, 2010. URL http: //www.R-project.org/.

[Raftery1995a] | A.E. Raftery and S.M. Lewis. The number of iterations, convergence diagnostics and generic metropolis al- gorithms. In D.J. Spiegelhalter W.R. Gilks and S. Richardson, editors, Practical Markov Chain Monte Carlo. Chapman and Hall, London, U.K., 1995.

[Raftery1995b] | A.E. Raftery and S.M. Lewis. Gibbsit Version 2.0. 1995. URL http://lib.stat.cmu.edu/ general/gibbsit/.

[Roelofs2010]

7. Roelofs, J. loup Gailly, M. Adler. zlib: A Massively Spiffy Yet Delicately Unobtrusive Compression Library. 2010. URL http://www.zlib.net/.

[Roberts2007] | G.O. Roberts and J.S. Rosenthal. Implementing componentwise Hastings algorithms. Journal of Applied Probability, 44(2):458–475, 2007.

[Schwarz1978]

7. Schwarz. Estimating the dimension of a model. The Annals of Statistics, 6(2):461–464, 1978.

[Seward2007]

10. Seward. bzip2 and libbzip2, Version 1.0.5 – A Program and Library for Data Compression. 2007. URL http://www.bzip.org/.

[vanRossum2010]

7. van Rossum. The Python Library Reference Release 2.6.5., 2010. URL http://docs. python.org/library/.

### Navigation

- index
- modules |
- previous |
- PyMC 2.2 documentation »