On non-central distribution of the matrix ratio
Haoming Wang

TL;DR
This paper derives the distribution of the ratio between a non-central mean matrix and a sample covariance matrix, extending matrix-variate distributions and relating to the non-central Student's t distribution.
Contribution
It introduces a new derivation for the distribution of a matrix ratio involving non-central means, expanding the understanding of matrix-variate distributions.
Findings
Derived the distribution of the matrix ratio involving non-central means.
Connected matrix-variate distribution with the confluent hypergeometric function ${}_1F_1$.
Considered extensions to other matrix-variate distributions.
Abstract
We derive the distribution of the ratio of a non-central mean matrix and a sample covariance matrix. This aligns with the confluent term in the non-central uni-variate Student's . Some extensions of matrix-variate distributions are considered.
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