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Strong Inconsistency from Uniform Priors
84
Citations
11
References
1976
Year
Bayesian StatisticEngineeringUncertainty QuantificationSampling DistributionImprecise ProbabilityCausal InferenceStrong InconsistencyStatistical InferenceProbability TheoryBayesian MethodsPublic HealthStatisticsParticular ImproperBayesian Inference
Behavior of this type will be called strong inconsistency. Box and Tiao [2, p. 310] might, apparently, tolerate such behavior by the simple device of ignoring (1.3), which, based on a sampling distribution, is regarded as irrelevant to the Bayesian inference. In support orf this, Box and Tiao [2, p. 304] could employ once again a form of argument used to defend a particular improper prior in their analysis of the random effects model; namely, that (a) for any particular x, we can take o-, in the proper prior measure element
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