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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75210


    Title: A Bayesian Edgeworth expansion by Stein`s identity
    Authors: Weng, R.C.
    翁久幸
    Contributors: 統計系
    Date: 2010
    Issue Date: 2015-05-21 15:10:51 (UTC+8)
    Abstract: The Edgeworth expansion is a series that approximates a probability distribution in terms of its cumulants. One can derive it by first expanding the probability distribution in Hermite orthogonal functions and then collecting terms in powers of the sample size. This paper derives an expansion for posterior distributions which possesses these features of an Edgeworth series. The techniques used are a version of Stein`s Identity and properties of Hermite polynomials. Two examples are provided to illustrate the accuracy of our series. © 2010 International Society for Bayesian Analysis.
    Relation: Bayesian Analysis, Volume 5, Issue 4, Pages 741-764
    Data Type: article
    DOI link: http://dx.doi.org/10.1214/10-BA526
    DOI: 10.1214/10-BA526
    Appears in Collections:[Department of Statistics] Periodical Articles

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