32 citations · 90 across the 17 of their papers we have counts for
3 papers · 1 filter
Model-based clustering via skewed matrix-variate cluster-weighted models
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas +1
Cluster-weighted models (CWMs) extend finite mixtures of regressions (FMRs) in order to allow the distribution of covariates to contribute to the clustering process. In a matrix-va…
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…