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Bibliografía

Ash, R. B. (1972). Real Analysis and Probability. New York: Wiley.

Bennet, J.E., Racine-Poon, A. & Wakefield, J.C. (1996). MCMC for Nonlinear Hierarchical Models. In Markov Chain Monte Carlo in Practice (eds. W.R. Gilks et al.) London: Chapman and Hall, pp. 339-357.

Bernardo, J.M. (1979). Reference Posterior Distributions for Bayesian Inference. Journal of the Royal Statistical Society B, 41, 113-147 (with discussion).

Bernardo, J.M. & Smith, A.F.M. (1994). Bayesian Theory. Chichester: Wiley.

Box, G.E.P. & Tiao, G.C. (1973). Bayesian Inference in Statictical Analysis. Reading: Addison-Wesley.

Carlin, B.P. & Louis, T.A. (1996). Bayes and Empirical Bayes Methods for Data Analysis. London: Chapman and Hall.

Gelfand, A.E., Hills, S.E., Racine-Poon, A. & Smith, A.F.M. (1990). Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling. Journal of the American Statistical Association, 85, 972-985.

Gelman, A., Carlin, J.B., Stern, H.S. & Rubin, D.B. (1995). Bayesian Data Analysis. London: Chapman and Hall.

Gilks, W.R., Richardson, S. & Spiegelhalter, D.J. (1996). Introducing Markov Chain Monte Carlo. In Markov Chain Monte Carlo in Practice (eds. W.R. Gilks et al.) London: Chapman and Hall, pp. 1-19.

Gutiérrez-Peña, E. (1997). Métodos Computacionales en la Inferencia Bayesiana. Serie Monografías, Vol. 6, No. 15. Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México.

O'Hagan, A. (1994). Kendall's Advanced Theory of Statistics, Vol. 2b: Bayesian Inference. London: Edward Arnold.


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Next: About this document ... Up: MJB Previous: Reconocimientos