Para os Bayesianos

[Basilio de Bragança Pereira <basilio@hucff.ufrj.br>]

Mais sobre Rod Little ,vejam o que ele diz em sua pagina sobre seu Bayesianismo

""Calibrated Bayes Inference

I have a considerable interest in systems of statistical inference,
and believe the secret is Calibrated Bayes, where inferences are
Bayesian but the model is chosen carefully to yield inferences with
good frequency properties. See, for example, Box (1980) and Rubin
(1984). I gave a talk on this topic when Fritz Scheuren asked me to
give the President’s Invited Address at the Joint Statistical Meetings
in 2005. This was later published in Little (2006). A more recent
paper along these lines is Little (2011).
References

Box, GEP (1980), “Sampling and Bayes inference in scientific modelling
and robustness” (with discussion), JRSSA 143, 383-430.

Little, R.J.A. (2006). Calibrated Bayes: A Bayes/Frequentist Roadmap.
The American Statistician, 60, 3, 213-223. {64}

Little, R.J. (2011). Calibrated Bayes, for Statistics in General, and
Missing Data in Particular (with Discussion and Rejoinder).
Statistical Science 26, 2, 162-186.

Rubin, DB (1984), “Bayesianly justifiable and relevant frequency
calculations for the applied statistician”, Annals of Statistics 12,
1151-1172.""

-- 
Basilio de Bragança Pereira ,DIC and PhD(Imperial College), DL(COPPE)
*UFRJ-Federal University of Rio de Janeiro
*Titular Professor of  Bioestatistics and of Applied Statistics
*FM-School of Medicine and COPPE-Posgraduate School of Engineering and
HUCFF-University Hospital Clementino Fraga Filho.

*Tel: 55 21 2562-7045/7047/2618/2558
www.po.ufrj.br/basilio/

*MailAddress:
COPPE/UFRJ
Caixa Postal 68507
CEP 21941-972 Rio de Janeiro,RJ
Brazil