淡江大學機構典藏:Item 987654321/72542
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    題名: On the recovery of joint distributions from limited information. 107:.
    作者: 劉威漢;Miller, D. J.
    貢獻者: 淡江大學財務金融學系
    日期: 2002-06-01
    上傳時間: 2011-10-24 10:32:45 (UTC+8)
    摘要: The paper considers the role of entropy and other information theoretic concepts in the description and formation of joint distributions for m random variables. The discussion includes a review of methods for constructing discrete and continuous joint distributions from the component marginal distributions. We then propose a minimum cross-entropy approach that recovers continuous joint distributions from the joint and marginal moments and the marginal densities. The large-sample properties of the associated estimator are outlined, and a simple demonstration problem that highlights the advantages and drawbacks of the proposed method is presented.
    關聯: Journal of Econometrics 107, pp.259-274
    DOI: 10.1016/S0304-4076(01)00123-3
    顯示於類別:[財務金融學系暨研究所] 期刊論文

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