期刊文献+

An Information Character for Two Matrix Distributions

两个矩阵分布的信息特征(英文)
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摘要 In this paper, our discussion is based on Zeilberg's basic idea and use an elimination in the non-commutative Weyl algebra to get the differential operator. Thereby we can obtain the algorithm of proving identities of the form ∫∞ -∞F(x, y)dy = a(x). 熵是一个分布的重要信息特征,通过对矩阵变量积分的一些技巧,利用矩阵Γ分布的特征,本文获得了矩阵F分布和矩阵Beta分布的熵.
作者 李开灿
出处 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2005年第4期634-641,共8页 数学研究与评论(英文版)
基金 the Education Department Project Research Foundation of Hubei Province (2003A004)
关键词 matrix variate distribution ENTROPY Bayesian analysis 矩阵变量分布 Bayesian分析.
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参考文献7

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