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2009

Journal Article

Classification of imbalanced marketing data with balanced random sets

Nikulin, Vladimir and McLachlan, Geoffrey J. (2009). Classification of imbalanced marketing data with balanced random sets. Journal of Machine Learning Research, 7, 89-100.

Classification of imbalanced marketing data with balanced random sets

2008

Journal Article

Wallace's approach to unsupervised learning: The Snob program

Jorgensen, Murray A. and McLachlan, Geoffrey J. (2008). Wallace's approach to unsupervised learning: The Snob program. The Computer Journal, 51 (5), 571-578. doi: 10.1093/comjnl/bxm121

Wallace's approach to unsupervised learning: The Snob program

2008

Journal Article

On selection biases with prediction rules formed from gene expression data

Zhu, J. X., McLachlan, G. J., Jones, L. B. T. and Wood, I. A. (2008). On selection biases with prediction rules formed from gene expression data. Journal of Statistical Planning and Inference, 138 (2), 374-386. doi: 10.1016/j.jspi.2007.06.003

On selection biases with prediction rules formed from gene expression data

2008

Journal Article

Comments on: Augmenting the bootstrap to analyze high dimensional genomic data

McLachlan, Geoffrey J., Wang, K. and Ng, S. K. (2008). Comments on: Augmenting the bootstrap to analyze high dimensional genomic data. Test, 17 (1), 43-46. doi: 10.1007/s11749-008-0106-x

Comments on: Augmenting the bootstrap to analyze high dimensional genomic data

2008

Journal Article

Large-scale simultaneous inference with applications to the detection of differential expression with microarray data (with discussion)

McLachlan, Geoff J., Wang, Kent and Ng, Shu Kay (2008). Large-scale simultaneous inference with applications to the detection of differential expression with microarray data (with discussion). Statistica, 68 (1), 1-30. doi: 10.6092/issn.1973-2201/3525

Large-scale simultaneous inference with applications to the detection of differential expression with microarray data (with discussion)

2008

Journal Article

Characteristic Traffic Load Effects from a Mixture of Loading Events on Short to Medium Span Bridges

Caprani, C. C., O'Brien, E. J. and McLachlan, G. J. (2008). Characteristic Traffic Load Effects from a Mixture of Loading Events on Short to Medium Span Bridges. Structural Safety, 30 (3), 394-404. doi: 10.1016/j.strusafe.2006.11.006

Characteristic Traffic Load Effects from a Mixture of Loading Events on Short to Medium Span Bridges

2008

Journal Article

Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study

McLaren, C. E., Gordeuk, V. R., Chen, W. -P., Barton, J. C., Action, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J. and Bean, R. (2008). Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study. Translational Research, 151 (2), 97-109. doi: 10.1016/j.trsl.2007.10.002

Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study

2008

Journal Article

Top 10 Algorithms in Data Mining

Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., Zhou, Z. H., Steinbach, M., Hand, D. J. and Steinberg, D. (2008). Top 10 Algorithms in Data Mining. Knowledge and Information Systems, 14 (1), 1-37. doi: 10.1007/s10115-007-0114-2

Top 10 Algorithms in Data Mining

2008

Journal Article

Professor Gopal Kanji's retirement as editor of Journal of Applied Statistics

Agrawal, M. C., Caudill, Steven B., Chakraborti, S., Draper, Norman, Dryden, Ian, Gani, Joe, Gilmour, Steven G., Govindarajulu, Z., Hand, David J., Franses, Philip Hans, Kacker, Raghu, Khamis, Harry, Khuri, Andre I., Lewis, Toby, Mardia, Kanti, McLachlan, Geoff, Naik, Dayanand, Prescott, Phil, Kumar, V. S. Sampath, Tomizawa, Sadao and Wynn, Henry (2008). Professor Gopal Kanji's retirement as editor of Journal of Applied Statistics. Journal of Applied Statistics, 35 (1), 1-8. doi: 10.1080/02664760701814495

Professor Gopal Kanji's retirement as editor of Journal of Applied Statistics

2007

Journal Article

Two-component Poisson Mixture Regression Modelling of Count Data With Bivariate Random Effects

Wang, Kui, Yau, Kelvin K. W., Lee, Andy H. and McLachlan, Geoffrey J. (2007). Two-component Poisson Mixture Regression Modelling of Count Data With Bivariate Random Effects. Mathematical and Computer Modelling, 46 (11-12), 1468-1476. doi: 10.1016/j.mcm.2007.02.003

Two-component Poisson Mixture Regression Modelling of Count Data With Bivariate Random Effects

2007

Journal Article

A Score Test for Overdispersion in Zero-Inflated Poisson Mixed Regression Model

Xiang, L., Lee, A. H., Yau, K. K. W. and McLachlan, G. J. (2007). A Score Test for Overdispersion in Zero-Inflated Poisson Mixed Regression Model. Statistics in Medicine, 26 (7), 1608-1622. doi: 10.1002/sim.2616

A Score Test for Overdispersion in Zero-Inflated Poisson Mixed Regression Model

2007

Journal Article

Application of gene shaving and mixture models to cluster microarray gene expression data

Do, K. A., McLachlan, G. J., Bean, R. W. and Wen, S. (2007). Application of gene shaving and mixture models to cluster microarray gene expression data. Cancer Informatics, 5, 25-43. doi: 10.1177/117693510700500002

Application of gene shaving and mixture models to cluster microarray gene expression data

2007

Journal Article

Maternity length of stay modelling by Gamma mixture regression with random effects

Lee, Andy H., Wang, Kui, Yau, Kelvin K. W., McLachlan, Geoffrey J. and Ng, Shu Kay (2007). Maternity length of stay modelling by Gamma mixture regression with random effects. Biometrical Journal, 49 (5), 750-764. doi: 10.1002/bimj.200610371

Maternity length of stay modelling by Gamma mixture regression with random effects

2007

Journal Article

Segmentation and intensity estimation of microarray images using a gamma-t mixture model

Baek, J., Son, Y. S. and McLachlan, G. J. (2007). Segmentation and intensity estimation of microarray images using a gamma-t mixture model. Bioinformatics, 23 (4), 458-465. doi: 10.1093/bioinformatics/btl630

Segmentation and intensity estimation of microarray images using a gamma-t mixture model

2007

Journal Article

A tutorial in genetic epidemiology and some considerations in statistical modeling

Suarez, E., Sariol, C. A., Burguete, A. and McLachlan, G. J. (2007). A tutorial in genetic epidemiology and some considerations in statistical modeling. Puerto Rico Health Sciences Journal, 26 (4), 401-421.

A tutorial in genetic epidemiology and some considerations in statistical modeling

2007

Journal Article

Multilevel Survival Modelling of Recurrent Urinary Tract Infections

Wang, Kui, Yau, Kelvin K. W., Lee, Andy H. and McLachlan, Geoffrey J. (2007). Multilevel Survival Modelling of Recurrent Urinary Tract Infections. Computer Methods and Programs in Biomedicine, 87 (3), 225-229. doi: 10.1016/j.cmpb.2007.05.013

Multilevel Survival Modelling of Recurrent Urinary Tract Infections

2007

Journal Article

Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution

McLachlan, G. J., Bean, R. W. and Jones, L. B. T. (2007). Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution. Computational Statistics & Data Analysis, 51 (11), 5327-5338. doi: 10.1016/j.csda.2006.09.015

Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution

2007

Journal Article

Extension of Mixture-of-Experts Networks for Binary Classification of Hierarchical Data

Ng, S. K. and McLachlan, G. J. (2007). Extension of Mixture-of-Experts Networks for Binary Classification of Hierarchical Data. Artificial Intelligence in Medicine, 41 (1), 57-67. doi: 10.1016/j.artmed.2007.06.001

Extension of Mixture-of-Experts Networks for Binary Classification of Hierarchical Data

2007

Journal Article

Resolving the latent structure of schizophrenia endophenotypes using expectation-maximization-based finite mixture modeling

Lenzenweger, M. F., McLachlan, G. J. and Rubin, D. B. (2007). Resolving the latent structure of schizophrenia endophenotypes using expectation-maximization-based finite mixture modeling. Journal of Abnormal Psychology, 116 (1), 16-29. doi: 10.1037/0021-843X.116.1.16

Resolving the latent structure of schizophrenia endophenotypes using expectation-maximization-based finite mixture modeling

2006

Journal Article

Mixture models for detecting differentially expressed genes in microarrays

Jones, L. B. T., Bean, R., McLachlan, G. J. and Zhu, J. X. (2006). Mixture models for detecting differentially expressed genes in microarrays. International Journal of Neural Systems, 16 (5), 353-362. doi: 10.1142/S0129065706000755

Mixture models for detecting differentially expressed genes in microarrays