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What is Learnable in Valiant's Theory of the Learnable? 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On the product of a singular Wishart matrix and a singular Gaussian vector in high dimension
Taras Bodnar, Stepan Mazur, Stanislas Muhinyuza, Nestor Parolya · 2016-11-10 · via math.ST updates on arXiv.org

In this paper we consider the product of a singular Wishart random matrix and a singular normal random vector. A very useful stochastic representation is derived for this product, using which the characteristic function of the product and its asymptotic distribution under the double asymptotic regime are established. The application of obtained stochastic representation speeds up the simulation studies where the product of a singular Wishart random matrix and a singular normal random vector is present. We further document a good performance of the derived asymptotic distribution within a numerical illustration. Finally, several important properties of the singular Wishart distribution are provided.

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