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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

Towards millimetre-wave spectroscopy of human blood using an open-ended waveguide

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

An overview of skew distributions in model-based clustering

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

Robust clustering based on finite mixture of multivariate fragmental distributions

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

A Festschrift for Geoff McLachlan

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

An overview of skew distributions in model-based clustering

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

Multi‐node expectation–maximization algorithm for finite mixture models

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

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions

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

Foreword to the Special Issue on Natural Resource Mathematics

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

Finite mixture models

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

Skew-normal Bayesian spatial heterogeneity panel data models

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

A Block EM Algorithm for Multivariate Skew Normal and Skew t-Mixture Models

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

EMMIXcskew: an R package for the fitting of a mixture of canonical fundamental skew t-distributions

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.

Finite mixture models in biostatistics

2017

Journal Article

Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution

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

Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution

2016

Journal Article

Partial identification in the statistical matching problem

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

Partial identification in the statistical matching problem

2016

Journal Article

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

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

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

2016

Journal Article

Finite mixtures of canonical fundamental skew t-distributions: The unification of the restricted and unrestricted skew t-mixture models

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

Finite mixtures of canonical fundamental skew t-distributions: The unification of the restricted and unrestricted skew t-mixture models

2016

Journal Article

Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure

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

Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure

2016

Journal Article

Extending mixtures of factor models using the restricted multivariate skew-normal distribution

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

Extending mixtures of factor models using the restricted multivariate skew-normal distribution

2015

Journal Article

Nature and man: the goal of bio-security in the course of rapid and inevitable human development

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.

Nature and man: the goal of bio-security in the course of rapid and inevitable human development