192 citations · 340 across the 18 of their papers we have counts for
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Multi-Node EM Algorithm for Finite Mixture Models
Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz
Finite mixture models are powerful tools for modelling and analyzing heterogeneous data. Parameter estimation is typically carried out using maximum likelihood estimation via the E…
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…
A simple multithreaded implementation of the EM algorithm for mixture models
Sharon X Lee, Kaleb L Lee, Geoffrey J McLachlan
Finite mixture models have been widely used for the modelling and analysis of data from heterogeneous populations. Maximum likelihood estimation of the parameters is typically carr…
EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions
Sharon X. Lee, Geoffrey J. McLachlan
This paper presents an R package EMMIXcskew for the fitting of the canonical fundamental skew t-distribution (CFUST) and finite mixtures of this distribution (FM-CFUST) via maximum…
EMMIX-uskew: An R Package for Fitting Mixtures of Multivariate Skew t-distributions via the EM Algorithm
Sharon X. Lee, Geoffrey J. McLachlan
This paper describes an algorithm for fitting finite mixtures of unrestricted Multivariate Skew t (FM-uMST) distributions. The package EMMIX-uskew implements a closed-form expectat…