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arXiv · 2306.05160

Chi-square approximation for the distribution of individual eigenvalues of a singular Wishart matrix

Koki Shimizu·Hiroki Hashiguchi
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Abstract

This paper discusses the approximate distributions of eigenvalues of a singular Wishart matrix. We give the approximate joint density of eigenvalues by Laplace approximation for the hyper-geometric functions of matrix arguments. Furthermore, we show that the distribution of each eigenvalue can be approximated by the chi-square distribution with varying degrees of freedom when the population eigenvalues are infinitely dispersed. The derived result is applied to testing the equality of eigenvalues in two populations

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Koki Shimizu, Hiroki Hashiguchi. 2023-06-08. Chi-square approximation for the distribution of individual eigenvalues of a singular Wishart matrix. https://arxiv.org/abs/2306.05160

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