Range of posterior measures for priors with arbitrary contaminations

References

• Berger , J.O. 1984 . “ The Robust Bayesian Viewpoint ” . In In Robustness of Bayesian Analysis , Amsterdam : North Holland . with discussion
   Google Scholar
• Berger , J.O. 1985 . Statistcal Decision Theory and Bayesian Analysis , New York : Springer-Verlage .
   Google Scholar
• Berger , J.O. 1986 . Robust Bayes and empirical Bayes analysis with ∊ contaminated priors . Ann Statist , 14 : 461 – 486 .
   Web of Science ®Google Scholar
• Berger , J.O. and O'Hagen , A. 1986 . Range of posterior robabilities for the class of unimodal priors , Purdue University . Technical Report, Department of Statistics
   Google Scholar
• Berliner , L.M. and Goel , P. 1986 . Ranges of posterior probabilities for the class with specified quantiles , Ohio State University .
   Google Scholar
• Hartigan , J.A. 1981 . Bayesian inference using interval of measures , 1 : 235 – 244 .
   Google Scholar
• Hill , B. 1980 . Robust analysis of the random model and weighted least squares regression . In Evaluation of Econometrics Models , 1
   Google Scholar
• Huber , P.J. 1973 . The use of choquet capacities in Statistics . Bull. Inst, Statist. Inst , 1
   Google Scholar
• Kemperman , J.H.B. 1968 . The general moment problem, a geometric approach . Ann. of Math. Stat , 39 : 93 – 122 .
   Google Scholar
• Learner , E.E. 1978 . Specification searchers , New York : Wiley .
   Google Scholar
• Polasek , W. 1985 . “ Sensitivity analysis for general and hierarchical linear regression models ” . In In Bayesian Inference and Decision Techniques with Applicatio , Edited by: Goel , P. K. and Zellner , A. Amsterdam : North-Holland .
   Google Scholar
• Sivaganesan , S. 1986 . Ph.D. thesis , Purdue University .
   Google Scholar
• Sivaganesan , S. and Berger , J.O. 1986 . Ranges of posterior measures for priors with unimodal contaminations , Purdue University . Technical Report
   Google Scholar