Overview
Availability
- Dr Sharon Lee is:
- Available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Sharon Lee’s works on UQ eSpace
2025
Journal Article
Towards millimetre-wave spectroscopy of human blood using an open-ended waveguide
Gonzales, Wilbert J. Villena, Lee, Sharon X., Flower, Robert and Abbosh, Amin (2025). Towards millimetre-wave spectroscopy of human blood using an open-ended waveguide. Measurement, 240 115552, 115552. doi: 10.1016/j.measurement.2024.115552
2024
Journal Article
An overview of skew distributions in model-based clustering
Lee, Sharon X. and McLachlan, Geoffrey J. (2024). An overview of skew distributions in model-based clustering. Science Talks, 9 100298, 100298. doi: 10.1016/j.sctalk.2024.100298
2023
Journal Article
Robust clustering based on finite mixture of multivariate fragmental distributions
Maleki, Mohsen, McLachlan, Geoffrey J. and Lee, Sharon X. (2023). Robust clustering based on finite mixture of multivariate fragmental distributions. Statistical Modelling, 23 (3), 247-272. doi: 10.1177/1471082X211048660
2022
Journal Article
A Festschrift for Geoff McLachlan
Nguyen, Hien, Lee, Sharon and Forbes, Florence (2022). A Festschrift for Geoff McLachlan. Australian and New Zealand Journal of Statistics, 64 (2), 111-116. doi: 10.1111/anzs.12372
2022
Journal Article
An overview of skew distributions in model-based clustering
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
2021
Journal Article
Multi‐node expectation–maximization algorithm for finite mixture models
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
2021
Book Chapter
Automated gating and dimension reduction of high-dimensional cytometry data
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
2021
Conference Publication
On Mean And/or Variance Mixtures of Normal Distributions
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
2020
Journal Article
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions
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
2020
Conference Publication
Modelling asset return using multivariate asymmetric mixture models with applications to estimation of Value-at-Risk
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).
2019
Journal Article
Foreword to the Special Issue on Natural Resource Mathematics
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
2019
Conference Publication
PPEM: privacy-preserving EM learning for mixture models
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
2019
Journal Article
Finite mixture models
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
2019
Journal Article
Skew-normal Bayesian spatial heterogeneity panel data models
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
2019
Conference Publication
CytoFA: automated gating of mass cytometry data via robust skew factor analzyers
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
2019
Conference Publication
Flexible modelling via multivariate skew distributions
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
2018
Journal Article
A Block EM Algorithm for Multivariate Skew Normal and Skew t-Mixture Models
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
2018
Journal Article
EMMIXcskew: an R package for the fitting of a mixture of canonical fundamental skew t-distributions
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
2018
Book Chapter
Risk measures based on multivariate skew normal and skew t-mixture models
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
2017
Journal Article
Finite mixture models in biostatistics
Lee, Sharon X., Ng, Shu-Kay and McLachlan, Geoffrey J. (2017). Finite mixture models in biostatistics. Handbook of Statistics, 36, 75-102.
Supervision
Availability
- Dr Sharon Lee is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Role of Finite Mixture Models in Semi-Supervised Learning
Associate Advisor
Other advisors: Professor Geoffrey McLachlan
Media
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