Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5129359 | Journal of Multivariate Analysis | 2017 | 12 Pages |
Abstract
In this paper, we generalize the Wishart distribution utilizing a fresh approach that leads to the hypergeometric Wishart generator distribution with the Wishart generator and the Wishart as special cases. Important statistical characteristics are derived. The significance of this generator distribution is further demonstrated by assuming a special case as a prior for the underlying matrix variate normal model.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Andriëtte Bekker, Janet van Niekerk, Mohammad Arashi,