The asymptotic distribution of the determinant of a random correlation matrix

Journal Article (2018)
Author(s)

AM Hanea (University of Melbourne, TU Delft - Applied Probability)

Gabriela F. Nane (TU Delft - Applied Probability)

Research Group
Applied Probability
DOI related publication
https://doi.org/10.1111/stan.12113
More Info
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Publication Year
2018
Language
English
Research Group
Applied Probability
Issue number
1
Volume number
72
Pages (from-to)
14-33

Abstract

Our main result gives the asymptotic distribution of the determinant of a random correlation matrix sampled in a particular way from the space of d×d correlation matrices. Several spin-off results are proven along the way, and an interesting connection with the law of the determinant of general random matrices is investigated. As different methods for generating random correlation matrices are proposed in the literature, one application of our result is that in can be employed to differentiate between those methods.

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