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Article . 2017 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2017
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A matrix variate skew‐t distribution

A matrix variate skew-\(t\) distribution
Authors: Michael P.B. Gallaugher; Paul D. McNicholas;

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.

Keywords

Methodology (stat.ME), FOS: Computer and information sciences, Statistics, matrix variate distribution, FOS: Mathematics, skew-\(t\) distribution, Mathematics - Statistics Theory, Statistics Theory (math.ST), Statistics - Methodology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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