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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/105865


    題名: On compatibility of discrete full conditional distributions: A graphical representation approach
    作者: 王紹宣;Yao, Yi-Ching;Chen, Shih-chieh;Wang, Shao-Hsuan
    貢獻者: 理學院統計研究所
    關鍵詞: Connected graph;Full conditional;Graph representations;Graph theory;Probability;Probability distribution;Random variables;Spanning tree;Studies;Vector space
    日期: 2014-02-01
    上傳時間: 2026-04-23 12:58:19 (UTC+8)
    出版者: Academic Press Inc.;New York: Elsevier Inc
    摘要: 摘要: To deal with the compatibility issue of full conditional distributions of a (discrete) random vector, a graphical representation is introduced where a vertex corresponds to a configuration of the random vector and an edge connects two vertices if and only if the ratio of the probabilities of the two corresponding configurations is specified through one of the given full conditional distributions. Compatibility of the given full conditional distributions is equivalent to compatibility of the set of all specified probability ratios (called the ratio set) in the graphical representation. Characterizations of compatibility of the ratio set are presented. When the ratio set is compatible, the family of all probability distributions satisfying the specified probability ratios is shown to be the set of convex combinations of k probability distributions where k is the number of components of the underlying graph.
    出版者: New York: Elsevier Inc
    出版日期: 2014-02
    出處: Journal of multivariate analysis, 2014-02, Vol.124, p.1-9
    資源來源: Elsevier ScienceDirect Journals Complete - Autoholdings
    版權: 2013 Elsevier Inc.
    版權: Copyright Taylor & Francis Group Feb 2014
    識別號: ISSN: 0047-259X
    識別號: EISSN: 1095-7243
    識別號: DOI: 10.1016/j.jmva.2013.10.007
    識別號: CODEN: JMVAAI
    顯示於類別:[統計研究所] 期刊論文

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