On Some Known Derivations and New Ones for The Wishart Distribution: A Didactic

Authors

  • Haruhiko Ogasawara Otaru University of Commerce Author

DOI:

https://doi.org/10.35566/jbds/v3n1/ogasawara

Keywords:

Jacobian, Multivariate normality, Probability density function (pdf), Triangular matrix, Bartlett decomposition

Abstract

The proofs of the probability density function (pdf) of the Wishart distribution tend to be complicated with geometric viewpoints, tedious Jacobians and not self-contained algebra. In this paper, some known proofs and simple new ones for uncorrelated and correlated cases are provided with didactic explanations. For the new derivation of the uncorrelated case, an elementary direct derivation of the distribution of the Bartlett-decomposed matrix is provided. In the derivation of the correlated case from the uncorrelated one, simple methods including a new one are shown.

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Published

2023-06-21

Issue

Section

Theory and Methods

How to Cite

Ogasawara, H. (2023). On Some Known Derivations and New Ones for The Wishart Distribution: A Didactic. Journal of Behavioral Data Science, 3(1), 34-58. https://doi.org/10.35566/jbds/v3n1/ogasawara