Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8919520 | Econometrics and Statistics | 2017 | 17 Pages |
Abstract
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 distribution. A mixture of skew-t factor analyzers model for clustering of high-dimensional data using a flexible formulation of the skew-t distribution is developed. Methodological details of the proposed approach, which represents an extension of the mixture of factor analyzers model to a flexible skew-t distribution, are outlined and details of parameter estimation are provided. Clustering results are illustrated and compared to an alternative formulation of the mixture of skew-t factor analyzers model as well as the mixture of factor analyzers model.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas,