# Dr Sharon Leemaqz

Senior Lecturer

School of Mathematics and Physics

### Book Chapters

Lee, Sharon X., McLachlan, Geoffrey J. and Pyne, Saumyadipta (2021).

*Automated gating and dimension reduction of high-dimensional cytometry data*. Mathematical, computational and experimental T cell immunology. (pp. 281-294) edited by Carmen Molina-París and Grant Lythe . Cham, Switzerland: Springer. doi: 10.1007/978-3-030-57204-4_16
Lee, Sharon X. and McLachlan, Geoffrey J. (2018).

*Risk measures based on multivariate skew normal and skew t-mixture models*. Asymmetric dependence in finance: diversification, correlation and portfolio management in market downturns. (pp. 152-168) edited by Jamie Alcock and Stephen Satchell. Chichester, West Sussex, United Kingdom: John Wiley & Sons. doi: 10.1002/9781119288992.ch7
Lee, Sharon X., Ng, Shu-Kay and McLachlan, Geoffrey J. (2017).

*Finite mixture models in biostatistics*. Disease Modelling and Public Health, Part A. (pp. 75-102) edited by Arni S.R. Srinivasa Rao, Saumyadipta Pyne and C.R. Rao. Amsterdam, Netherlands: Elsevier. doi: 10.1016/bs.host.2017.08.005
Lee, Sharon X., McLachlan, Geoffrey J. and Pyne, Saumyadipta (2016).

*Application of mixture models to large datasets*. Big data analytics: methods and applications. (pp. 57-74) edited by Saumyadipta Pyne, B. L. S. Prakasa Rao and S. B. Rao. New Delhi, India: Springer India. doi: 10.1007/978-81-322-3628-3_4### Journal Articles

Lee, Sharon X. and McLachlan, Geoffrey J. (2022).

*An overview of skew distributions in model-based clustering*. Journal of Multivariate Analysis, 188 104853, 1-14. doi: 10.1016/j.jmva.2021.104853
Maleki, Mohsen, McLachlan, Geoffrey J. and Lee, Sharon X. (2021).

*Robust clustering based on finite mixture of multivariate fragmental distributions*. Statistical Modelling, 1-26. doi: 10.1177/1471082X211048660
Lee, Sharon X., McLachlan, Geoffrey J. and Leemaqz, Kaleb L. (2021).

*Multi‐node expectation–maximization algorithm for finite mixture models*. Statistical Analysis and Data Mining: The ASA Data Science Journal, 14 (4) sam.11529, 297-304. doi: 10.1002/sam.11529
Lee, Sharon X., Lin, Tsung-I and McLachlan, Geoffrey J. (2020).

*Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions*. Advances in Data Analysis and Classification, 15 (2), 481-512. doi: 10.1007/s11634-020-00420-9
Holden, Matthew H., Lee, Sharon and Yang, Wen-Hsi (2019).

*Foreword to the Special Issue on Natural Resource Mathematics*. Environmental Modeling and Assessment, 24 (4), 365-367. doi: 10.1007/s10666-019-09677-7
McLachlan, Geoffrey J., Lee, Sharon X. and Rathnayake, Suren I. (2019).

*Finite mixture models*. Annual Review of Statistics and Its Application, 6 (1), 355-378. doi: 10.1146/annurev-statistics-031017-100325
Farzammehr, Mohadeseh Alsadat, Zadkarami, Mohammad Reza, McLachlan, Geoffrey J. and Lee, Sharon X. (2019).

*Skew-normal Bayesian spatial heterogeneity panel data models*. Journal of Applied Statistics, 47 (5), 1-23. doi: 10.1080/02664763.2019.1657812
Lee, Sharon X., Leemaqz, Kaleb L. and McLachlan, Geoffrey J. (2018).

*A Block EM Algorithm for Multivariate Skew Normal and Skew t-Mixture Models*. IEEE Transactions on Neural Networks and Learning Systems, 29 (99) 8310916, 1-11. doi: 10.1109/TNNLS.2018.2805317
Lee, Sharon X. and McLachlan, Geoffrey J. (2018).

*EMMIXcskew: an R package for the fitting of a mixture of canonical fundamental skew t-distributions*. Journal of Statistical Software, 83 (3). doi: 10.18637/jss.v083.i03
Lee, Sharon X., Ng, Shu-Kay and McLachlan, Geoffrey J. (2017).

*Finite mixture models in biostatistics*. Handbook of Statistics, 36, 75-102.
Lin, Tsung-I, Wang, Wan-Lun, McLachlan, Geoffrey J. and Lee, Sharon X. (2017).

*Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution*. Statistical Modelling, 18 (1), 50-72. doi: 10.1177/1471082X17718119
Ahfock, Daniel, Pyne, Saumyadipta, Lee, Sharon X. and McLachlan, Geoffrey J. (2016).

*Partial identification in the statistical matching problem*. Computational Statistics and Data Analysis, 104, 79-90. doi: 10.1016/j.csda.2016.06.005
McLachlan, Geoffrey J. and Lee, Sharon X. (2016).

*Comment on "On nomenclature for, and the relative merits of, two formulations of skew distributions," by A. Azzalini, R. Browne, M. Genton, and P. McNicholas*. Statistics & Probability Letters, 116, 1-5. doi: 10.1016/j.spl.2016.04.004
Lee, Sharon X and McLachlan, Geoffrey J (2016).

*Finite mixtures of canonical fundamental skew t-distributions: The unification of the restricted and unrestricted skew t-mixture models*. Statistics and Computing, 26 (3), 573-589. doi: 10.1007/s11222-015-9545-x
Lin, Tsung-I, McLachlan, Geoffrey J. and Lee, Sharon X. (2016).

*Extending mixtures of factor models using the restricted multivariate skew-normal distribution*. Journal of Multivariate Analysis, 143, 398-413. doi: 10.1016/j.jmva.2015.09.025
Lee, Sharon X., McLachlan, Geoffrey J. and Pyne, Saumyadipta (2016).

*Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure*. Cytometry Part A, 89 (1), 30-43. doi: 10.1002/cyto.a.22789
Pyne, Saumyadipta, Lee, Sharon X. and McLachlan, Geoffrey J. (2015).

*Nature and man: the goal of bio-security in the course of rapid and inevitable human development*. Journal of the Indian Society of Agricultural Statistics, 69 (2), 117-125.
Lin, Tsung-I, Wu, Pal H., McLachlan, Geoffrey J. and Lee, Sharon X. (2014).

*A robust factor analysis model using the restricted skew-t distribution*. Test, 24 (3), 510-531. doi: 10.1007/s11749-014-0422-2
Pyne, Saumyadipta, Lee, Sharon X., Wang, Kui, Irish, Jonathan, Tamayo, Pablo, Nazaire, Marc-Danie, Duong, Tarn, Ng, Shu-Kay, Hafler, David, Levy, Ronald, Nolan, Garry P., Mesirov, Jill and McLachlan, Geoffrey J. (2014).

*Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data*. PLoS One, 9 (7) e100334, e100334.1-e100334.11. doi: 10.1371/journal.pone.0100334
Lee, Sharon and McLachlan, Geoffrey J. (2014).

*Finite mixtures of multivariate skew t-distributions: Some recent and new results*. Statistics and Computing, 24 (2), 181-202. doi: 10.1007/s11222-012-9362-4
Lee, Sharon X. and McLachlan, Geoffrey J. (2013).

*Rejoinder to the discussion of "Model-based clustering and classification with non-normal mixture distributions"*. Statistical Methods and Applications, 22 (4), 473-479. doi: 10.1007/s10260-013-0249-0
Lee, Sharon X. and McLachlan, Geoffrey J. (2013).

*Model-based clustering and classification with non-normal mixture distributions*. Statistical Methods and Applications, 22 (4), 427-454. doi: 10.1007/s10260-013-0237-4
Lee S.X. and McLachlan G.J. (2013).

*EMMIXuskew: An R package for Fitting Mixtures of Multivariate Skew t distributions via the EM algorithm*. Journal of Statistical Software, 55 (12), 1-22. doi: 10.18637/jss.v055.i12
Lee, Sharon X. and McLachlan, Geoffrey J. (2013).

*On mixtures of skew normal and skew t-distributions*. Advances in Data Analysis and Classification, 7 (3), 241-266. doi: 10.1007/s11634-013-0132-8### Conference Papers

Lee, Sharon X. and McLachlan, Geoffrey J. (2021).

*On Mean And/or Variance Mixtures of Normal Distributions*.*12th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2019)*, Cassino, Italy, 11–13 September 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69944-4_13
Lee, Sharon X. and McLachlan, Geoffrey J. (2020).

*Modelling asset return using multivariate asymmetric mixture models with applications to estimation of Value-at-Risk*.*20th International Congress on Modelling and Simulation - Adapting to Change: The Multiple Roles of Modelling, MODSIM 2013*, Adelaide, SA, Australia, 1 - 6 December 2013. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ).
Lee, Sharon X., Leemaqz, Kaleb L. and McLachlan, Geoffrey J. (2019).

*PPEM: privacy-preserving EM learning for mixture models*.*8th International Conference on Applications and Techniques in Information Security, ATIS 2017*, Auckland, New Zealand, 6-7 July 2017. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/cpe.5208
McLachlan, Geoffrey J. and Lee, Sharon X. (2019).

*Flexible modelling via multivariate skew distributions*.*Research School on Statistics and Data Science (RSSDS 2019)*, Melbourne, VIC, Australia, 24–26 July 2019. Singapore, Singapore: Springer Singapore. doi: 10.1007/978-981-15-1960-4_4
Lee, Sharon X. (2019).

*CytoFA: automated gating of mass cytometry data via robust skew factor analzyers*.*23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019)*, Macau, China, 14-17 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-16148-4_40
Lee, Sharon X. (2017).

*Mining high-dimensional CyTOF data: Concurrent gating, outlier removal, and dimension reduction*.*28th Australasian Database Conference, ADC 2017*, Brisbane, QLD, 25–28 September 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-68155-9_14
Leemaqz, Kaleb L., Lee, Sharon X. and McLachlan, Geoffrey J. (2017).

*Privacy distributed three-party learning of Gaussian mixture models*.*International Conference on Applications and Technologies in Information Security (ATIS)*, Auckland, New Zealand, 6-7 July 2017. Singapore: Springer Singapore. doi: 10.1007/978-981-10-5421-1_7
Leemaqz, Kaleb L., Lee, Sharon X. and McLachlan, Geoffrey J. (2017).

*Corruption-resistant privacy preserving distributed EM algorithm for model-based clustering*.*2017 IEEE Trustcom/BigDataSE/ICESS*, Sydney, NSW, Australia, 1 - 4 August 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/Trustcom/BigDataSE/ICESS.2017.356
Lee, Sharon X. and McLachlan, Geoffrey J. (2016).

*On mixture modelling with multivariate skew distributions*.*COMPSTAT: International Conference on Computational Statistics*, Oviedo, Spain, 23-26 August 2016. The Hague, The Netherlands: The International Statistical Institute/International Association for Statistical Computing.
Lee, Sharon X., Leemaqz, Kaleb L. and McLachlan, Geoffrey J. (2016).

*A simple parallel EM algorithm for statistical learning via mixture models*.*International Conference on Digital Image Computing*, Gold Coast, QLD, Australia, 30 November - 2 December,2016. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/DICTA.2016.7796997
Lee, Sharon X. and McLachlan, Geoffrey J. (2016).

*Unsupervised component-wise EM learning for finite mixtures of skew t-distributions*.*12th International Conference, ADMA 2016*, Gold Coast, QLD, Australia, 12-15 December 2016. New York, NY, United States: Springer. doi: 10.1007/978-3-319-49586-6_49
Lee, Sharon X. and McLachlan, Geoffrey J. (2013).

*Modelling asset return using multivariate asymmetric mixture models with applications to estimation of Value-at-Risk*.*International Congress on Modelling and Simulation*, Adelaide, SA, Australia, 1/12/2013/6/12/2013. Melbourne, Australia: Modelling and Simulation Society of Australia and New Zealand.
Lee, Sharon (2012).

*Polynomial approximations for bit error probability for 4-DPSK transmission*.*6th International Conference on Signal Processing and Communication Systems (ICSPCS)*, Gold Coast, Australia, 12-14 December 2012. Piscatawa, NJ United States: I E E E. doi: 10.1109/ICSPCS.2012.6507946
Lee, Sharon (2010).

*Accurate approximations of BER for DQPSK transmission via Least Squares estimation of the Marcum Q-function*.*ICSPCS'2010: 4th International Conference on Signal Processing and Communication Systems*, Gold Coast, QLD, Australia, 13-15 December, 2010. Piscataway, NJ, USA: IEEE. doi: 10.1109/ICSPCS.2010.5709710