@article{RSA_2001__49_4_53_0, author = {Altaleb, Anas and Robert, Christian P.}, title = {Analyse bay\'esienne du mod\`ele Logit : algorithme par tranches ou Metropolis-Hastings ?}, journal = {Revue de Statistique Appliqu\'ee}, volume = {49}, year = {2001}, pages = {53-70}, language = {fr}, url = {http://dml.mathdoc.fr/item/RSA_2001__49_4_53_0} }
Altaleb, Anas; Robert, Christian P. Analyse bayésienne du modèle Logit : algorithme par tranches ou Metropolis-Hastings ?. Revue de Statistique Appliquée, Tome 49 (2001) pp. 53-70. http://gdmltest.u-ga.fr/item/RSA_2001__49_4_53_0/
Spatial Statistics and Bayesian computation (avec discussion). Journal of the Royal Statistical Society (Series B) 55, 25-38. | MR 1210422 | Zbl 0800.62572
et (1993)CODA : Convergence diagnosis and output analysis software for Gibbs sampling output, Version 0.30. Tech. Report, MRC Biostatistics Unit, Univ. of Cambridge.
, et (1995)Assessing convergence of Markov chain Monte Carlo algorithms. Statistics and Computing 8, 319-335.
et (1998)Bayesian model choice through Markov-Chain Monte Carlo. Journal of the Royal Statistical Society (Series B), 57, 473-484. | Zbl 0827.62027
et (1995)Markov Chain Monte Carlo convergence diagnostics : a comparative study. Journal of the American Statistical Association 91, 883-904. | MR 1395755 | Zbl 0869.62066
et (1996)Sampling probability densities via uniform random variables and a Gibbs sampler. Tech. Report, Business School, University of Michigan.
et (1996)Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables. Journal of the Royal Statistical Society (Series B) 61, 331-344. | MR 1680334 | Zbl 0913.62028
, et (1999)Efficient Metropolis jumping rules. In Bayesian Statistics 5, J.O. Berger, J.M. Bernardo, A.P. Dawid, D.V. Lindley and A.F.M. Smith (Eds.). 599-608. Oxford University Press, Oxford. | MR 1425429
, and (1996)Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments (with discussion. In Bayesian Statistics 4, J.M. Bernardo, J.O. Berger, A.P. Dawid and A.F.M. Smith (Eds.). 169-193. Oxford University Press, Oxford. | MR 1380276
(1992)Strategies for improving MCMC. In Markov Chain Monte Carlo in Pratice, W.R. Gilks, S. Richardson and D.J. Spiegelhalter (Eds.), 89-114. Chapman and Hall, London. | MR 1397966 | Zbl 0844.62100
et (1996)Monte Carlo Methods, J. Wiley, New York. | Zbl 0121.35503
et (1964)Monte Carlo sampling methods using Markov chains and their application. Biometrika 57, 97-109. | Zbl 0219.65008
(1970)MCMC convergence diagnostics : a « reviewww» (avec discussion. In Bayesian Statistics 6. J.O. Berger, J.M. Bernardo, A.P. Dawid, D.V. Lindley and A.F.M. Smith (Eds.). Oxford University Press, Oxford, 415- 441. | MR 1723507 | Zbl 0957.62019
, et (1999)How many iterations in the Gibbs sampler? In Bayesian Statistics 4, J.O. Berger, J.M. Bernardo, A.P. Dawid and A.F.M. Smith (Eds.), 763- 773. Oxford University Press, Oxford.
et (1992)L'Analyse Statistique Bayésienne. Economica, Paris. | Zbl 0827.62006
(1992)Méthodes de Monte-Carlo par Chaînes de Markov. Economica, Paris. | MR 1419096 | Zbl 0917.60007
(1996)Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods (avec discussion. Journal of the Royal Statistical Society (Series B) 55, 3-24. | MR 1210421 | Zbl 0779.62030
et (1993)