101 citations · 212 across the 5 of their papers we have counts for
6 papers
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
The mixture of factor analyzers model was first introduced over 20 years ago and, in the meantime, has been extended to several non-Gaussian analogues. In general, these analogues…
Hidden Truncation Hyperbolic Distributions, Finite Mixtures Thereof, and Their Application for Clustering
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
A hidden truncation hyperbolic (HTH) distribution is introduced and finite mixtures thereof are applied for clustering. A stochastic representation of the HTH distribution is given…
Parsimonious Shifted Asymmetric Laplace Mixtures
Brian C. Franczak, Paul D. McNicholas, Ryan P. Browne +1
A family of parsimonious shifted asymmetric Laplace mixture models is introduced. We extend the mixture of factor analyzers model to the shifted asymmetric Laplace distribution. Im…
A Mixture of SDB Skew-t Factor Analyzers
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
Mixtures of skew-t distributions offer a flexible choice for model-based clustering. A mixture model of this sort can be implemented using a variety of formulations of the skew-t d…
Mixtures of Common Skew-t Factor Analyzers
Paula M. Murray, Paul D. McNicholas, Ryan P. Browne
A mixture of common skew-t factor analyzers model is introduced for model-based clustering of high-dimensional data. By assuming common component factor loadings, this model allows…
Mixtures of Skew-t Factor Analyzers
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
In this paper, we introduce a mixture of skew-t factor analyzers as well as a family of mixture models based thereon. The mixture of skew-t distributions model that we use arises a…