The holonomic gradient method for the distribution function of the largest root of a Wishart matrix

JOURNAL OF MULTIVARIATE ANALYSIS

卷:117

Article

Hashiguchi, Hiroki¹  Numata, Yasuhide^2,3  Takayama, Nobuki^3,4  Takemura, Akimichi^2,3 

[1] Saitama Univ, Grad Sch Sci & Engn, Saitama, Japan

[2] Univ Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo 1138654, Japan

[3] JST CREST, Tokyo, Japan

[4] Kobe Univ, Dept Math, Kobe, Hyogo, Japan

关键词: D-modules;    Grobner basis;    Hypergeometric function of a matrix argument;    Zonal polynomial;   

DOI  :  10.1016/j.jmva.2013.03.011

来源: Elsevier

【 摘 要 】

We apply the holonomic gradient method introduced by Nakayama et al. (2011) [23] to the evaluation of the exact distribution function of the largest root of a Wishart matrix, which involves a hypergeometric function F-1(1) of a matrix argument. Numerical evaluation of the hypergeometric function has been one of the longstanding problems in multivariate distribution theory. The holonomic gradient method offers a totally new approach, which is complementary to the infinite series expansion around the origin in terms of zonal polynomials. It allows us to move away from the origin by the use of partial differential equations satisfied by the hypergeometric function. From the numerical viewpoint we show that the method works well up to dimension 10. From the theoretical viewpoint the method offers many challenging problems both to statistics and D-module theory. (C) 2013 Elsevier Inc. All rights reserved.

【 授权许可】

Free