Sharon Lee
Cited by
Cited by
Finite mixture models
GJ McLachlan, SX Lee, SI Rathnayake
Annual review of statistics and its application 6, 355-378, 2019
Finite mixtures of multivariate skew t-distributions: some recent and new results
S Lee, GJ McLachlan
Statistics and Computing 24 (2), 181-202, 2014
On mixtures of skew normal and skew t-distributions
SX Lee, GJ McLachlan
Advances in Data Analysis and Classification 7 (3), 241-266, 2013
Finite mixtures of canonical fundamental skew t-distributions
SX Lee, GJ McLachlan
Statistics and Computing 26 (3), 573-589, 2016
Model-based clustering and classification with non-normal mixture distributions
SX Lee, GJ McLachlan
Statistical Methods & Applications 22 (4), 427-454, 2013
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
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
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
On the fitting of mixtures of multivariate skew t-distributions via the EM algorithm
SX Lee, GJ McLachlan
arXiv preprint arXiv:1109.4706, 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
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
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
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
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
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
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
The skew-t factor analysis model
TI Lin, PH Wu, GJ McLachlan, SX Lee
arXiv preprint arXiv:1310.5336, 2013
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
Partial identification in the statistical matching problem
D Ahfock, S Pyne, SX Lee, GJ McLachlan
Emmixuskew: fitting unrestricted multivariate skew t mixture models
SX Lee, GJ McLachlan
R package version 0.11-5, 2013
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