The holonomic gradient method for the distribution function of the largest root of a Wishart matrix
| Autor: | Nobuki Takayama, Hiroki Hashiguchi, Yasuhide Numata, Akimichi Takemura |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Statistics and Probability
Wishart distribution Numerical Analysis Basic hypergeometric series Confluent hypergeometric function Hypergeometric function of a matrix argument Holonomic Mathematical analysis Generalized hypergeometric function Applied mathematics Statistics Probability and Uncertainty Hypergeometric function Gradient method Mathematics |
| Zdroj: | Journal of Multivariate Analysis. 117:296-312 |
| ISSN: | 0047-259X |
| DOI: | 10.1016/j.jmva.2013.03.011 |
| Popis: | 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 "1F"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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect