192 citations · 340 across the 18 of their papers we have counts for
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The skew-t factor analysis model
Tsung-I Lin, Pal H. Wu, Geoffrey J. McLachlan +1
Factor analysis is a classical data reduction technique that seeks a potentially lower number of unobserved variables that can account for the correlations among the observed varia…
Extending mixtures of factor models using the restricted multivariate skew-normal distribution
Tsung-I Lin, Geoffrey J. McLachlan, Sharon X. Lee
The mixture of factor analyzers (MFA) model provides a powerful tool for analyzing high-dimensional data as it can reduce the number of free parameters through its factor-analytic…
Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
Saumyadipta Pyne, Kui Wang, Jonathan Irish +10
In systems biomedicine, an experimenter encounters different potential sources of variation in data such as individual samples, multiple experimental conditions, and multi-variable…