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Geoffrey J. McLachlan

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sharon X. Lee

> Home > Persons > Geoffrey J. McLachlan

Publications

2022
[j70]
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Sharon X. Lee, Geoffrey J. McLachlan:
An overview of skew distributions in model-based clustering. J. Multivar. Anal. 188: 104853 (2022)
2021
[j69]
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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)
[j65]
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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)
2019
[j62]
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  - journals/concurrency/LeeLM19
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Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
PPEM: Privacy-preserving EM learning for mixture models. Concurr. Comput. Pract. Exp. 31(24) (2019)
2018
[j55]
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  - journals/tnn/LeeLM18
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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
[c31]
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  - conf/atis/LeemaqzLM17
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Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan:
Private Distributed Three-Party Learning of Gaussian Mixture Models. ATIS 2017: 75-87
[c30]
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  - conf/trustcom/LeemaqzLM17
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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
[j49]
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  - journals/csda/AhfockPLM16
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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)
[j48]
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  - journals/ma/LinML16
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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)
[j46]
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  - journals/sac/LeeM16
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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)
[c29]
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Sharon X. Lee, Geoffrey J. McLachlan:
Unsupervised Component-Wise EM Learning for Finite Mixtures of Skew t-distributions. ADMA 2016: 692-699
[c27]
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  - conf/dicta/LeeLM16
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Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan:
A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models. DICTA 2016: 1-8
[i2]
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  - journals/corr/LeeLM16
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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
[j41]
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  - journals/sac/LeeM14
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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
[j38]
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  - journals/adac/LeeM13
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Sharon X. Lee, Geoffrey J. McLachlan:
On mixtures of skew normal and skew t-distributions. Adv. Data Anal. Classif. 7(3): 241-266 (2013)
[j36]
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Sharon X. Lee, Geoffrey J. McLachlan:
Model-based clustering and classification with non-normal mixture distributions. Stat. Methods Appl. 22(4): 427-454 (2013)
[j35]
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  - journals/sma/LeeM13a
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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)

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