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2020 – today
- 2022
[j12]Sharon X. Lee, Geoffrey J. McLachlan
:
An overview of skew distributions in model-based clustering. J. Multivar. Anal. 188: 104853 (2022)- 2021
- [j11]Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan:
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Adv. Data Anal. Classif. 15(2): 481-512 (2021) - [j10]Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz:
Multi-node Expectation-Maximization algorithm for finite mixture models. Stat. Anal. Data Min. 14(4): 297-304 (2021)
2010 – 2019
- 2019
- [j9]Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
PPEM: Privacy-preserving EM learning for mixture models. Concurr. Comput. Pract. Exp. 31(24) (2019) - [c7]Sharon X. Lee:
CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers. PAKDD (1) 2019: 514-525 - 2018
- [j8]Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5581-5591 (2018) - 2017
- [c6]Sharon X. Lee:
Mining High-Dimensional CyTOF Data: Concurrent Gating, Outlier Removal, and Dimension Reduction. ADC 2017: 178-189 - [c5]Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan:
Private Distributed Three-Party Learning of Gaussian Mixture Models. ATIS 2017: 75-87 - [c4]Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan:
Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering. TrustCom/BigDataSE/ICESS 2017: 1082-1089 - 2016
- [j7]Daniel Ahfock, Saumyadipta Pyne, Sharon X. Lee, Geoffrey J. McLachlan:
Partial identification in the statistical matching problem. Comput. Stat. Data Anal. 104: 79-90 (2016) - [j6]Tsung-I Lin, Geoffrey J. McLachlan, Sharon X. Lee:
Extending mixtures of factor models using the restricted multivariate skew-normal distribution. J. Multivar. Anal. 143: 398-413 (2016) - [j5]Sharon X. Lee, Geoffrey J. McLachlan:
Finite mixtures of canonical fundamental skew t-distributions - The unification of the restricted and unrestricted skew t-mixture models. Stat. Comput. 26(3): 573-589 (2016) - [c3]Sharon X. Lee, Geoffrey J. McLachlan:
Unsupervised Component-Wise EM Learning for Finite Mixtures of Skew t-distributions. ADMA 2016: 692-699 - [c2]Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models. DICTA 2016: 1-8 - [i1]Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
A block EM algorithm for multivariate skew normal and skew t-mixture models. CoRR abs/1608.02797 (2016) - 2014
- [j4]Sharon X. Lee, Geoffrey J. McLachlan:
Finite mixtures of multivariate skew t-distributions: some recent and new results. Stat. Comput. 24(2): 181-202 (2014) - 2013
- [j3]Sharon X. Lee, Geoffrey J. McLachlan:
On mixtures of skew normal and skew t-distributions. Adv. Data Anal. Classif. 7(3): 241-266 (2013) - [j2]Sharon X. Lee, Geoffrey J. McLachlan:
Model-based clustering and classification with non-normal mixture distributions. Stat. Methods Appl. 22(4): 427-454 (2013) - [j1]Sharon X. Lee, Geoffrey J. McLachlan:
Rejoinder to the discussion of "Model-based clustering and classification with non-normal mixture distributions". Stat. Methods Appl. 22(4): 473-479 (2013) - 2012
- [c1]Sharon X. Lee:
Polynomial approximations for Bit Error Probability for 4-DPSK transmission. ICSPCS 2012: 1-4
Coauthor Index
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