| Finite mixture models GJ McLachlan, SX Lee, SI Rathnayake Annual review of statistics and its application 6, 355-378, 2019 | 15402 | 2019 |
| Finite mixtures of multivariate skew t-distributions: some recent and new results S Lee, GJ McLachlan Statistics and Computing 24 (2), 181-202, 2014 | 259 | 2014 |
| On mixtures of skew normal and skew t-distributions SX Lee, GJ McLachlan Advances in Data Analysis and Classification 7 (3), 241-266, 2013 | 210 | 2013 |
| Finite mixtures of canonical fundamental skew t-distributions SX Lee, GJ McLachlan Statistics and Computing 26 (3), 573-589, 2016 | 120 | 2016 |
| Model-based clustering and classification with non-normal mixture distributions SX Lee, GJ McLachlan Statistical Methods & Applications 22 (4), 427-454, 2013 | 117 | 2013 |
| Extending mixtures of factor models using the restricted multivariate skew-normal distribution TI Lin, GJ McLachlan, SX Lee Journal of Multivariate Analysis 143, 398-413, 2016 | 84 | 2016 |
| EMMIX-uskew: An R Package for Fitting Mixtures of Multivariate Skew t-distributions via the EM Algorithm SX Lee, GJ McLachlan arXiv preprint arXiv:1211.5290, 2012 | 73 | 2012 |
| Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data S Pyne, SX Lee, K Wang, J Irish, P Tamayo, MD Nazaire, T Duong, SK Ng, ... PloS one 9 (7), e100334, 2014 | 48 | 2014 |
| On the fitting of mixtures of multivariate skew t-distributions via the EM algorithm SX Lee, GJ McLachlan arXiv preprint arXiv:1109.4706, 2011 | 42* | 2011 |
| EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions SX Lee, GJ McLachlan arXiv preprint arXiv:1509.02069, 2015 | 32 | 2015 |
| Modeling of inter‐sample variation in flow cytometric data with the joint clustering and matching procedure SX Lee, GJ McLachlan, S Pyne Cytometry Part A 89 (1), 30-43, 2016 | 31 | 2016 |
| Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution TI Lin, WL Wang, GJ McLachlan, SX Lee Statistical Modelling 18 (1), 50-72, 2018 | 29 | 2018 |
| A robust factor analysis model using the restricted skew-t distribution TI Lin, PH Wu, GJ McLachlan, SX Lee Test 24 (3), 510-531, 2015 | 29 | 2015 |
| A block EM algorithm for multivariate skew normal and skew t-mixture models SX Lee, KL Leemaqz, GJ McLachlan IEEE Transactions on Neural Networks and Learning Systems, 2018 | 21 | 2018 |
| Comment on “On nomenclature, and the relative merits of two formulations of skew distributions” by A. Azzalini, R. Browne, M. Genton, and P. McNicholas GJ McLachlan, SX Lee Statistics & Probability Letters 116, 1-5, 2016 | 17 | 2016 |
| A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models SX Lee, KL Leemaqz, GJ McLachlan Digital Image Computing: Techniques and Applications (DICTA), 2016 …, 2016 | 14 | 2016 |
| Partial identification in the statistical matching problem D Ahfock, S Pyne, SX Lee, GJ McLachlan | 13 | 2015 |
| An overview of skew distributions in model-based clustering SX Lee, GJ McLachlan Journal of Multivariate Analysis 188, 104853, 2022 | 12 | 2022 |
| The skew-t factor analysis model TI Lin, PH Wu, GJ McLachlan, SX Lee arXiv preprint arXiv:1310.5336, 2013 | 12 | 2013 |
| Modelling asset return using multivariate asymmetric mixture models with applications to estimation of value-at-risk SX Lee, GJ McLachlan International Congress on Modelling and Simulation, 1128-1234, 2013 | 12 | 2013 |
Geoff McLachlanProfessor of Statistics, University of QueenslandVerified email at uq.edu.au
