Three way data can be conveniently modelled by using matrix variate distributions. Although there has been a lot of work for the matrix variate normal distribution, there is little work in the area of matrix skew distributions. We present three new matrix variate distributions that incorporate skewness, as well as other flexible properties such as concentration. We also discuss maximum likelihood parameter estimation. Simulated data is used for illustration.
View on arXiv