淡江大學機構典藏:Item 987654321/41452
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    題名: A robust asymptotically optimal procedure in Bayes sequential estimation
    其他題名: 具有穩健漸進最優法則之貝氏序列估計
    作者: 黃連成;Hwang, Leng-cheng
    貢獻者: 淡江大學數學學系
    關鍵詞: Asymptotically Bayes;Bayes sequential estimation;Bayes risk;optimal sequential procedure;prior distributions
    日期: 1999-07-01
    上傳時間: 2010-01-28 07:36:02 (UTC+8)
    出版者: Statistica Sinica
    摘要: The problem of sequential estimation of the mean, subject to the loss defined as the sum of squared error loss and sampling costs, is considered within the Bayesian framework. It is shown that the sequential procedure, as proposed by Chow and Yu (1981) in classical non-Bayesian sequential estimation, is, in fact, asymptotically Bayes for a large class of prior distributions. The proposed procedure, without using any auxiliary data, is robust in the sense that it does not depend on the distribution of outcome variables and the prior.
    關聯: Statistica Sinica 9(3), pp.893-904
    DOI: 10.1007/s00184-009-0293-9
    顯示於類別:[數學學系暨研究所] 期刊論文

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