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Asymptotic Properties of HPD Regions in the Discrete Case

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  • Rousseau, Judith

Abstract

This paper obtains asymptotic expansions of the frequentist distributions of modified likelihood ratio statistics when the observations are discrete. An upper bound of the uncertainty due to the discrete nature of the observations is obtained, which is slightly larger than Yarnold's result (obtained in the case of elliptic confidence regions). Higher order results are also derived from continuity corrections. They are instrumental in the determination of matching priors for HPD regions to the orders o(n-1) and O(n-3/2).

Suggested Citation

  • Rousseau, Judith, 2002. "Asymptotic Properties of HPD Regions in the Discrete Case," Journal of Multivariate Analysis, Elsevier, vol. 83(1), pages 1-21, October.
  • Handle: RePEc:eee:jmvana:v:83:y:2002:i:1:p:1-21
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    References listed on IDEAS

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    1. Judith Rousseau, 2000. "Coverage Properties of One-Sided Intervals in the Discrete Case and Application to Matching Priors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(1), pages 28-42, March.
    2. J. Ghosh & Rahul Mukerjee, 1993. "Corrections to “Frequentist validity of highest posterior density regions in the multiparameter case”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(3), pages 602-602, September.
    3. J. Ghosh & Rahul Mukerjee, 1993. "Frequentist validity of highest posterior density regions in the multiparameter case," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(2), pages 293-302, June.
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