Distributions of Matrix Variates and Latent Roots Derived from Normal Samples¶
James, A. T. (1964). Distributions of Matrix Variates and Latent Roots Derived from Normal Samples. The Annals of Mathematical Statistics.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Multivariate Gamma Function
- Their independent-coordinate counts and Jacobians differ, changing powers of \(\pi\), argument shifts, and admissibility conditions
This sourceThe classification of matrix-variate distributions derived from real and complex normal samples, with their differing coordinate counts, Jacobians, powers of π and argument shifts — the source of the convention-dependence the sentence asserts; the quaternionic case rests on the random-matrix literature rather than on this paper.
Supported in partVerified against the source
- Their independent-coordinate counts and Jacobians differ, changing powers of \(\pi\), argument shifts, and admissibility conditions
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