192 citations · 340 across the 18 of their papers we have counts for
Showing 2014 · stat.MEShow all
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stat.ME2014★ 5 cited
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 (…
stat.ME2014★ 3 cited
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…
stat.ME2014★ 6 cited
Maximum Likelihood Estimation for Finite Mixtures of Canonical Fundamental Skew t-Distributions: the Unification of the Unrestricted and Restricted Skew t-Mixture Models
Sharon X. Lee, Geoffrey J. McLachlan
In this paper, we present an algorithm for the fitting of a location-scale variant of the canonical fundamental skew t (CFUST) distribution, a superclass of the restricted and unre…