Computational algorithms in bayesian inferences for a normal mean with t prior distributions

References

• Berger , J. O . 1985 . “ Statistical Decision Theory and Bayesian Analysis ” . New York : Springer .
   Google Scholar
• Berger , J. O and Delampady , M . 1987 . Testing precise hypotheses . Statistical Science , 2 : 317 – 52 .
   Google Scholar
• Fan, T. H. and Berger, J. 0. (1989). Exact convolution of t distributions, with application to Bayesian inference for a normal mean with t prior distributions. Tech. Report #89-06C, Department of Statistics, Purdue University.
   Google Scholar
• Fan , T. H and Berger , J. 0 . 1990 . Exact convolution of t distributions, with application to Bayesian inference for a normal mean with t prior distributions . J. Statist. Comput. Simul , 36 : 209 – 228 .
   Google Scholar
• Fan , T. H and Berger , J. 0 . 1992 . Behavior of the posterior distribution and inferences for a normal mean with t prior distributions . Statistics and Decisions , 10 : 99 – 120 .
   Google Scholar
• Fan, T. H. and J. 0. Berger (1992). Robust Bayesian displays for standard inferences concerning a normal mean. Preprint.
   Google Scholar
• Fisher , R. A . 1935 . The fiducial argument in statistical inference . Annals of Eugenics , 6 : 391 – 398 .
   Google Scholar
• Naylor J. C. (1982). Some Numerical Aspects of Bayesian Inferences. Unpublished Ph.D. thesis, University of Nottingham.
   Google Scholar
• Naylor , J. C and Smith , A. F. M . 1982 . Applications of a method for the efficient computation of posterior distributions . App. Stat , 31 ( 3 ) : 214 – 225 .
   Web of Science ®Google Scholar
• Naylor , J. C and Smith , A. F. M . 1983 . “ A contamination model in clinical chemistry ” . In Practical Bayesian Statistics , Edited by: Dawid , s, A. P and Smith , A. F . England : Harlow .
   Google Scholar
• Press , S. J . 1989 . “ Bayesian Statistics: Principles, Models, and Applications ” . Wiley .
   Google Scholar
• Smith, R. L. and Naylor, J. C. (1984). A comparison of maximum likelihood and Bayesian estimators for the three parameter Weibull distribution. Tech. Report, Imperial College, London.
   Google Scholar