6 citations · 15 across the 4 of their papers we have counts for
4 papers
A block EM algorithm for multivariate skew normal and skew t-mixture models
Sharon X Lee, Kaleb L Leemaqz, Geoffrey J McLachlan
Finite mixtures of skew distributions provide a flexible tool for modelling heterogeneous data with asymmetric distributional features. However, parameter estimation via the Expect…
Supervised Classification of Flow Cytometric Samples via the Joint Clustering and Matching (JCM) Procedure
Sharon X. Lee, Geoffrey J. McLachlan, Saumyadipta Pyne
We consider the use of the Joint Clustering and Matching (JCM) procedure for the supervised classification of a flow cytometric sample with respect to a number of predefined classe…
Finite Mixtures of Canonical Fundamental Skew t-Distributions
Sharon X. Lee, Geoffrey J. McLachlan
This is an extended version of the paper Lee and McLachlan (2014b) with simulations and applications added. This paper introduces a finite mixture of canonical fundamental skew t (…
Comment on "Comparing two formulations of skew distributions with special reference to model-based clustering" by A. Azzalini, R. Browne, M. Genton, and P. McNicholas
Geoffrey J. McLachlan, Sharon X. Lee
In this paper, we comment on the recent comparison in Azzalini et al. (2014) of two different distributions proposed in the literature for the modelling of data that have asymmetri…