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By Claude Dellacherie

Dellacherie C. Capacites et processus stochastiques (fr)(ISBN 0387056769)(Springer, 1972)

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And Dey, D. (1994) Bayesian model choice: Asymptotics and exact calculations. Journal of the Royal Statistical Society B, 56(3), 501–514. Gelfand, A. and Ghosh, S. (1998) Model choice: A minimum posterior predictive loss approach. Biometrika, 85(1), 1–11. Gelfand, A. and Sahu, S. (1999) Identifiability, improper priors, and Gibbs sampling for generalized linear models. Journal of the American Statistical Association, 94, 247–253. Gelfand, A. and Smith, A. (1990) Sampling-based approaches to calculating marginal densities.

And Steinbakk, G. (2006) Post-processing posterior predictive p values. Journal of the American Statistical Association, 101, 1157–1174. Hobert, J. and Casella, G. (1996) The effect of improper priors on Gibbs sampling in hierarchical linear mixed models. Journal of the American Statistical Association, 91(436), 1461–1473. , Djulbegovic, B. and Hozo, I. (2005) Estimating the mean and variance from the median, range, and the size of a sample. BMC Medical Research Methodology, 5(1), 13. C. A. (2005) Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling.

Chapman and Hall, London, UK. Gilks, W. and Wild, P. (1992) Adaptive rejection sampling for Gibbs sampling. Applied Statistics, 41, 337–48. , Roberts, G. and Sahu, S. (1998) Adaptive Markov chain Monte Carlo through regeneration. Journal of the American Statistical Association, 93, 1045–1054. Gill, J. and Walker, L. (2005) Elicited priors for bayesian model specifications in political science research. Journal of Politics, 67(3), 841–872. Green, P. (1995) Reversible jump MCMC computation and Bayesian model determination.

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