2 citations · 3 across the 6 of their papers we have counts for
8 papers · 1 filter
Four Skewed Tensor Distributions
Michael P. B. Gallaugher, Peter A. Tait, Paul D. McNicholas
With the rise of the "big data" phenomenon in recent years, data is coming in many different complex forms. One example of this is multi-way data that come in the form of higher-or…
Multivariate Cluster Weighted Models Using Skewed Distributions
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas +1
Much work has been done in the area of the cluster weighted model (CWM), which extends the finite mixture of regression model to include modelling of the covariates. Although many…
Mixtures of Contaminated Matrix Variate Normal Distributions
Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo +1
Analysis of three-way data is becoming ever more prevalent in the literature, especially in the area of clustering and classification. Real data, including real three-way data, are…
Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers
Michael P. B. Gallaugher, Paul D. McNicholas
Over the years, data have become increasingly higher dimensional, which has prompted an increased need for dimension reduction techniques. This is perhaps especially true for clust…
Assessing and Visualizing Matrix Variate Normality
Nikola Pocuca, Michael P. B. Gallaugher, Katharine M. Clark +1
A framework for assessing the matrix variate normality of three-way data is developed. The framework comprises a visual method and a goodness of fit test based on the Mahalanobis s…
Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers
Michael P. B. Gallaugher, Paul D. McNicholas
In recent years, data have become increasingly higher dimensional and, therefore, an increased need has arisen for dimension reduction techniques for clustering. Although such tech…