## Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May 22-May 25, 1995, Rimini, Italy |

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algorithm approach approximation assume asymptotic Bayes estimator Bayes factor Bayesian analysis Bayesian inference Bayesian Statistics Berger BF and FBF Carnegie Mellon University classes of priors clinical trials components computational conditional consider constraints contamination class convergence corresponding decision defined denotes density Dirichlet process discussion e-contamination elicitation error estimation example Figure finite Frechet derivative Gibbs sampling given global Gustafson improper priors IMS Lecture Notes inference influence function interest interval intrinsic priors Kadane Lemma likelihood likelihood function linear models Markov chain methods model selection Moreno norm normal null observations obtained optimal outliers paper parameters partition Pericchi perturbation posterior distribution posterior expected posterior probability prior beliefs prior distributions probability measures problem PROOF proper priors quantiles respect Robust Bayesian Analysis Ruggeri Salinetti sensitivity analysis sensitivity measures Sivaganesan solution specific supremum Table Theorem tion unimodal values variance vector Wasserman 1993

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Page 203 - This completes the proof of the first part of the theorem. To prove the second part, we...

Page 281 - Departement de Mathematiques et de statistique, Universite de Montreal, CP 6128, succ. Centre-ville, Montreal QC...

Page 114 - The authors are grateful to two anonymous referees for their helpful suggestions.

Page 58 - Raftery, AE, Madigan, D., and Volinsky, CT (1995). Accounting for model uncertainty in survival analysis improves predictive performance. In Bayesian Statistics 5 (Eds.

Page 188 - Berger, JO and Delampady, M. (1987). Testing Precise Hypotheses. With Discussion. Statistical Science 2, 317-352. Berger, JO and Mortera, J.

Page 148 - Statistics 14, 461-486. Berger, JO and O'Hagan, A. (1988). Ranges of Posterior Probabilities for Unimodal Priors with Specified Quantiles. In Bayesian Statistics 3, JM Bernardo, MH DeGroot, DV Lindley, and AFM Smith (eds.).

Page 341 - SJ Godsill and PJW Rayner. ,"A Bayesian approach to the restoration of degraded audio signals", IEEE Trans, on Speech and Audio Processing, 3(4): 267-278, July 1995.

Page 189 - JACOBSON, MA, BESCH, CL, CHILD, C., HAFNER, R., MATTS, JP, MUTH, K., WENTWORTH, DN, NEATON, JD, ABRAMS, D., RIMLAND, D., PEREZ, G., GRANT, IH, SARAVOLATZ, LD, BROWN, LS, DEYTON, L., AND THE TERRY BEIRN COMMUNITY PROGRAMS FOR CLINICAL RESEARCH ON AIDS (1994).

Page 290 - REFERENCES ANTONIAK, CE (1974). Mixtures of Dirichlet Processes with Applications to Nonparametric Problems. Ann. Statist. 2 1152-1174.

Page 206 - Wasserman, L. (1992). Recent methodological advances in robust Bayesian inference. Bayesian Statistics 4 (JM Bernardo, JO Berger, AP Dawid and AFM Smith, eds.). Oxford: University Press, 483-502 (with discussion).