具有两个矩阵参数的异质超几何函数与奇异beta-Wishart矩阵最大特征值的精确分布

Heterogeneous hypergeometric functions with two matrix arguments and the exact distribution of the largest eigenvalue of a singular beta-Wishart matrix

Journal of Multivariate Analysis · 2020
被引 9
ABS 3

中文导读

定义了具有两个矩阵参数的异质超几何函数,并用其表达奇异beta-Wishart矩阵特征值的联合密度和最大特征值的分布,在实数和复数情形下进行了精确计算。

Abstract

This paper discusses certain properties of heterogeneous hypergeometric functions with two matrix arguments. These functions are newly defined but have already appeared in statistical literature and are useful when dealing with the derivation of certain distributions for the eigenvalues of singular beta-Wishart matrices. The joint density function of the eigenvalues and the distribution of the largest eigenvalue can be expressed in terms of heterogeneous hypergeometric functions. Exact computation of the distribution of the largest eigenvalue is conducted for real and complex cases.

Wishart分布超几何函数特征值矩阵分析数理统计