Titlebook: Probability Matching Priors: Higher Order Asymptotics; Gauri Sankar Datta,Rahul Mukerjee Book 2004 Springer-Verlag New York, Inc. 2004 Lik

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Matching Priors for Other Credible Regions,quentist validity of such regions are characterized. This is done with margin of error .(n.), where . is the sample size. The results, when combined with those of the previous chapter, can help in narrowing down the choice of matching priors especially when the interest parameter is multidimensional

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Matching Priors for Prediction, multidimensional, and priors ensuring approximate frequentist validity of the associated posterior credible regions were studied. Evidently, the solutions for these matching priors depend on the specification of the interest parameter. For instance, in Example 2.5.7 concerning the Student’s t-model

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