Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May 22-May 25, 1995, Rimini, ItalyJames O. Berger IMS, 1996 - 353 páginas |
Términos y frases comunes
algorithm approach approximation assume asymptotic Bayes estimator Bayes factor Bayesian analysis Bayesian inference Bayesian Statistics Berger BF and FBF classes of priors clinical trials computational conditional consider constraints contamination class convergence corresponding decision defined denotes density Dirichlet process discussion e-contamination elicitation error estimation example Figure finite Fréchet derivative Gibbs sampling given global Gustafson improper priors inference influence function interval intrinsic priors Kadane Lemma likelihood likelihood function linear models M₁ marginal methods mixture 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
Pasajes populares
Página 203 - This completes the proof of the first part of the theorem. To prove the second part, we...
Página 281 - Departement de Mathematiques et de statistique, Universite de Montreal, CP 6128, succ. Centre-ville, Montreal QC...
Página 114 - The authors are grateful to two anonymous referees for their helpful suggestions.
Página 58 - Raftery, AE, Madigan, D., and Volinsky, CT (1995). Accounting for model uncertainty in survival analysis improves predictive performance. In Bayesian Statistics 5 (Eds.
Página 188 - Berger, JO and Delampady, M. (1987). Testing Precise Hypotheses. With Discussion. Statistical Science 2, 317-352. Berger, JO and Mortera, J.
Página 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.).
Página 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.
Página 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).
Página 290 - REFERENCES ANTONIAK, CE (1974). Mixtures of Dirichlet Processes with Applications to Nonparametric Problems. Ann. Statist. 2 1152-1174.
Página 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).