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.

References in corpus (1)

• Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

Cited by in corpus (1)

• Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions