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arXiv 1302.3514math.PR
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对称矩阵上的β-超几何概率分布

Beta-hypergeometric probability distribution on symmetric matrices

Abdelhamid Hassairi, Mouna Masmoudi

摘要:

β分布的一些显著性质是基于β随机变量之间的独立关系,使得其中一个随机变量的参数是另一个随机变量的参数之和(见下面的(1.1)和(1.2))。Asci,Letac和Piccioni \cite{6}利用$ \reel$上的实β-超几何分布给出了这些性质的一般形式,而没有参数的条件。本文将实Beta分布的性质推广到对称矩阵上的β分布,在正定矩阵上利用Cholesky分解定义的带余除法定义了一个矩阵变量Beta-超几何分布,并将Asci,Letac和Piccioni在实情形下建立的性质推广到该分布

英文摘要:

Some remarkable properties of the beta distribution are based on relations involving independence between beta random variables such that a parameter of one among them is the sum of the parameters of an other (see (1.1) et (1.2) below). Asci, Letac and Piccioni \cite{6} have used the real beta-hypergeometric distribution on $ \reel$ to give a general version of these properties without the condition on the parameters. In the present paper, we extend the properties of the real beta to the beta distribution on symmetric matrices, we use on the positive definite matrices the division algorithm defined by the Cholesky decomposition to define a matrix-variate beta-hypergeometric distribution, and we extend to this distribution the proprieties established in the real case by Asci, Letac and Piccioni

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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