Discussion of “Is Bayes Posterior just Quick and Dirty Confidence?” by D. A. S. Fraser
Christian P. Robert
Source: Statist. Sci.
Volume 26, Number 3
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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.ss/1320066919
Digital Object Identifier: doi:10.1214/11-STS352A
Mathematical Reviews number (MathSciNet): MR2918002
Zentralblatt MATH identifier: 06075173
Berger, J. O. (1985). Statistical Decision Theory and Bayesian Analysis, 2nd ed. Springer, New York.
Mathematical Reviews (MathSciNet): MR804611
Fienberg, S. E. (2006). When did Bayesian inference become “Bayesian”? Bayesian Anal. 1 1–40 (electronic).
Hwang, J. T. and Chen, J. (1986). Improved confidence sets for the coefficients of a linear model with spherically symmetric errors. Ann. Statist. 14 444–460.
Mathematical Reviews (MathSciNet): MR840508
Jaynes, E. T. (2003). Probability Theory. Cambridge Univ. Press, Cambridge.
Pritchard, J. K., Seielstad, M. T., Perez-Lezaun, A. and Feldman, M. W. (1999). Population growth of human Y chromosomes: A study of Y chromosome microsatellites. Mol. Biol. Evol. 16 1791–1798.
Robert, C. P. and Casella, G. (1994). Distance weighted losses for testing and confidence set evaluation. Test 3 163–182.
Rubin, D. B. (1984). Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann. Statist. 12 1151–1172.
Mathematical Reviews (MathSciNet): MR760681
Welch, B. L. and Peers, H. W. (1963). On formulae for confidence points based on integrals of weighted likelihoods. J. Roy. Statist. Soc. Ser. B 25 318–329.
Mathematical Reviews (MathSciNet): MR173309