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Sharon Lee
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Finite mixture models
GJ McLachlan, SX Lee, SI Rathnayake
Annual review of statistics and its application 6, 355-378, 2019
137372019
Finite mixtures of multivariate skew t-distributions: some recent and new results
S Lee, GJ McLachlan
Statistics and Computing 24 (2), 181-202, 2014
2202014
On mixtures of skew normal and skew t-distributions
SX Lee, GJ McLachlan
Advances in Data Analysis and Classification 7 (3), 241-266, 2013
1802013
Finite mixtures of canonical fundamental skew t-distributions
SX Lee, GJ McLachlan
Statistics and Computing 26 (3), 573-589, 2016
1032016
Model-based clustering and classification with non-normal mixture distributions
SX Lee, GJ McLachlan
Statistical Methods & Applications 22 (4), 427-454, 2013
982013
Extending mixtures of factor models using the restricted multivariate skew-normal distribution
TI Lin, GJ McLachlan, SX Lee
Journal of Multivariate Analysis 143, 398-413, 2016
732016
EMMIX-uskew: An R Package for Fitting Mixtures of Multivariate Skew t-distributions via the EM Algorithm
SX Lee, GJ McLachlan
arXiv preprint arXiv:1211.5290, 2012
642012
Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data
S Pyne, SX Lee, K Wang, J Irish, P Tamayo, MD Nazaire, T Duong, SK Ng, ...
PloS one 9 (7), e100334, 2014
432014
On the fitting of mixtures of multivariate skew t-distributions via the EM algorithm
SX Lee, GJ McLachlan
arXiv preprint arXiv:1109.4706, 2011
37*2011
Modeling of inter‐sample variation in flow cytometric data with the joint clustering and matching procedure
SX Lee, GJ McLachlan, S Pyne
Cytometry Part A 89 (1), 30-43, 2016
282016
Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution
TI Lin, WL Wang, GJ McLachlan, SX Lee
Statistical Modelling 18 (1), 50-72, 2018
252018
A robust factor analysis model using the restricted skew-t distribution
TI Lin, PH Wu, GJ McLachlan, SX Lee
Test 24 (3), 510-531, 2015
242015
EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions
SX Lee, GJ McLachlan
arXiv preprint arXiv:1509.02069, 2015
202015
Comment on “On nomenclature, and the relative merits of two formulations of skew distributions” by A. Azzalini, R. Browne, M. Genton, and P. McNicholas
GJ McLachlan, SX Lee
Statistics & Probability Letters 116, 1-5, 2016
162016
A block EM algorithm for multivariate skew normal and skew t-mixture models
SX Lee, KL Leemaqz, GJ McLachlan
IEEE Transactions on Neural Networks and Learning Systems, 2018
122018
A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models
SX Lee, KL Leemaqz, GJ McLachlan
Digital Image Computing: Techniques and Applications (DICTA), 2016 …, 2016
112016
The skew-t factor analysis model
TI Lin, PH Wu, GJ McLachlan, SX Lee
arXiv preprint arXiv:1310.5336, 2013
112013
Modelling asset return using multivariate asymmetric mixture models with applications to estimation of value-at-risk
SX Lee, GJ McLachlan
International Congress on Modelling and Simulation, 1128-1234, 2013
112013
Partial identification in the statistical matching problem
D Ahfock, S Pyne, SX Lee, GJ McLachlan
102015
Emmixuskew: fitting unrestricted multivariate skew t mixture models
SX Lee, GJ McLachlan
R package version 0.11-5, 2013
102013
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