3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ME2018
Mixtures of Factor Analyzers with Fundamental Skew Symmetric Distributions
Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan
Mixtures of factor analyzers (MFA) provide a powerful tool for modelling high-dimensional datasets. In recent years, several generalizations of MFA have been developed where the no…
stat.ME2013★ 3 cited
Capturing Patterns via Parsimonious t Mixture Models
Tsung-I Lin, Paul D. McNicholas, Hsiu J. Ho
This paper exploits a simplified version of the mixture of multivariate t-factor analyzers (MtFA) for robust mixture modelling and clustering of high-dimensional data that frequent…