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The multivariate Selberg beta distribution and applications

机译:多元Selberg beta发行版和应用

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摘要

The classical beta distribution defined on (0,1) is based on Euler's integral of the second type and its generalization to several variables, defined on a simplex, is based on Dirichlet's generalized form of Euler's integral. We define the multivariate Selberg beta random vector X=(X 1, …, X p ) MSBeta1 (α, β, γ, p), p≥1, defined on (0, 1) p . This distribution, based on the Selberg integral, a generalized form of the Dirichlet integral, has close relationships with the distributions of roots of determinantal equations and also has several interesting applications, such as the multivariate Gini mean difference.
机译:在(0,1)上定义的经典beta分布基于第二类型的Euler积分,其对由单纯形定义的多个变量的推广是基于Dirichlet的Euler积分的广义形式。我们定义多元Selberg beta随机向量X =(X 1 ,α,X p )MSBeta1(α,β,γ,p),p≥ 1,定义为(0,1) p 。该分布基于Dirichlet积分的广义形式Selberg积分,与行列式方程的根的分布紧密相关,并且还具有一些有趣的应用,例如多元Gini均值差。

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