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2021 Journal Article Harmless label noise and informative soft-labels in supervised classificationAhfock, Daniel and McLachlan, Geoffrey J. (2021). Harmless label noise and informative soft-labels in supervised classification. Computational Statistics and Data Analysis, 161 107253, 107253. doi: 10.1016/j.csda.2021.107253 |
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2021 Journal Article On formulations of skew factor models: Skew factors and/or skew errorsLee, Sharon X. and McLachlan, Geoffrey J. (2021). On formulations of skew factor models: Skew factors and/or skew errors. Statistics and Probability Letters, 168 108935, 108935. doi: 10.1016/j.spl.2020.108935 |
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2020 Journal Article An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classifiedAhfock, Daniel and McLachlan, Geoffrey J. (2020). An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified. Statistics and Computing, 30 (6), 1779-1790. doi: 10.1007/s11222-020-09971-5 |
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2020 Journal Article Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributionsLee, 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 |
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2020 Journal Article A Mixture of Regressions Model of COVID-19 Death Rates and Population ComorbiditiesMaleki, M. , McLachlan, G. J. , Gurewitsch, R. , Aruru, M. and Pyne, S. (2020). A Mixture of Regressions Model of COVID-19 Death Rates and Population Comorbidities. Statistics and Applications, 18 (1), 295-306. |
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2020 Journal Article Approximation by finite mixtures of continuous density functions that vanish at infinityNguyen, T. Tin, Nguyen, Hien D., Chamroukhi, Faicel and McLachlan, Geoffrey J. (2020). Approximation by finite mixtures of continuous density functions that vanish at infinity. Cogent Mathematics and Statistics, 7 (1). doi: 10.1080/25742558.2020.1750861 |
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2020 Journal Article Mini-batch learning of exponential family finite mixture modelsNguyen, Hien D., Forbes, Florence and McLachlan, Geoffrey J. (2020). Mini-batch learning of exponential family finite mixture models. Statistics and Computing, 30 (4), 731-748. doi: 10.1007/s11222-019-09919-4 |
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2020 Journal Article A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fractionTawiah, Richard, McLachlan, Geoffrey J. and Ng, Shu Kay (2020). A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction. Biometrics, 76 (3) biom.13202, 753-766. doi: 10.1111/biom.13202 |
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2019 Journal Article On approximations via convolution-defined mixture modelsNguyen, Hien D. and McLachlan, Geoffrey (2019). On approximations via convolution-defined mixture models. Communications in Statistics - Theory and Methods, 48 (16), 3945-3955. doi: 10.1080/03610926.2018.1487069 |
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2019 Journal Article False discovery rate control for grouped or discretely supported p-values with application to a neuroimaging studyNguyen, Hien D., Yee, Yohan, McLachlan, Geoffrey J. and Lerch, Jason P. (2019). False discovery rate control for grouped or discretely supported p-values with application to a neuroimaging study. SORT, 43 (2), 1-22. doi: 10.2436/20.8080.02.87 |
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2019 Journal Article A multilevel survival model with random covariates and unobservable random effectsTawiah, Rchard, Yau, Kelvin K. W., McLachlan, Geoffrey J., Chambers, Suzanne and Ng, Shu-Kay (2019). A multilevel survival model with random covariates and unobservable random effects. Statistics in Medicine, 38 (6), 1036-1055. doi: 10.1002/sim.8041 |
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2019 Journal Article Finite mixture modelsMcLachlan, 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 |
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2019 Journal Article Mixture cure models with time-varying and multilevel frailties for recurrent event dataTawiah, Richard, McLachlan, Geoffrey J. and Ng, Shu Kay (2019). Mixture cure models with time-varying and multilevel frailties for recurrent event data. Statistical Methods in Medical Research, 29 (5) 0962280219859377, 096228021985937-1385. doi: 10.1177/0962280219859377 |
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2019 Journal Article Skew-normal generalized spatial panel data modelFarzammehr, Mohadeseh Alsadat, Zadkarami, Mohammad Reza and McLachlan, Geoffrey J. (2019). Skew-normal generalized spatial panel data model. Communications in Statistics: Simulation and Computation, 50 (11), 1-29. doi: 10.1080/03610918.2019.1622718 |
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2019 Journal Article Skew-normal Bayesian spatial heterogeneity panel data modelsFarzammehr, 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 |
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2018 Journal Article Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling frameworkNg, Shu-Kay, Tawiah, Richard and McLachlan, Geoffrey J. (2018). Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognition, 88, 261-271. doi: 10.1016/j.patcog.2018.11.022 |
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2018 Journal Article Randomized mixture models for probability density approximation and estimationNguyen, Hien D., Wang, Dianhui and McLachlan, Geoffrey J. (2018). Randomized mixture models for probability density approximation and estimation. Information Sciences, 467, 135-148. doi: 10.1016/j.ins.2018.07.056 |
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2018 Journal Article logKDE: log-transformed kernel density estimationJones, Andrew T., Nguyen, Hien D. and McLachlan, Geoffrey J. (2018). logKDE: log-transformed kernel density estimation. Journal of Open Source Software, 3 (28) 870, 870. doi: 10.21105/joss.00870 |
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2018 Journal Article Stream-suitable optimization algorithms for some soft-margin support vector machine variantsNguyen, Hien D., Jones, Andrew T. and McLachlan, Geoffrey J. (2018). Stream-suitable optimization algorithms for some soft-margin support vector machine variants. Japanese Journal of Statistics and Data Science., 1 (1), 81-108. doi: 10.1007/s42081-018-0001-y |
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2018 Journal Article A Block EM Algorithm for Multivariate Skew Normal and Skew t-Mixture ModelsLee, 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 |
