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A matrix variate skew‐t distribution
Journal article
A matrix variate skew‐t distribution
Abstract
Although there is ample work in the literature dealing with skewness in the multivariate setting, there is a relative paucity of work in the matrix variate paradigm. Such work is, for example, useful for modelling three‐way data. A matrix variate skew‐ t distribution is derived based on a mean‐variance matrix normal mixture. An expectation‐conditional maximization algorithm is developed for parameter estimation. Simulated data are used for illustration. Copyright © 2017 John Wiley & Sons, Ltd.
Authors
Gallaugher MPB; McNicholas PD
Journal
Stat, Vol. 6, No. 1, pp. 160–170
Publisher
Wiley
Publication Date
May 2, 2017
DOI
10.1002/sta4.143
ISSN
2049-1573
Associated Experts
Paul McNicholas
Professor, Faculty of Science
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Fields of Research (FoR)
49 Mathematical Sciences
4905 Statistics
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