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Paul McNicholas --- Publications |
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A list of presentations is given on a separate page.
To export citations, see Paul's Google Scholar author profile.
Peer-Reviewed Publications
| 2012 |
| McNicholas, P. D. and Subedi, S. (2012), 'Clustering gene expression time course data using mixtures of multivariate t-distributions', Journal of Statistical Planning and Inference 142(5), 1114-1127. [doi] |
| Feng, Z., Z., Yang, X., Subedi, S. and McNicholas, P. D. (2012), 'The LASSO and sparse least squares regression methods for SNP selection in predicting quantitative traits', IEEE Transactions on Computational Biology and Bioinformatics 9(2), 629-636. [doi] |
| Browne, R. P., McNicholas, P. D. and Sparling, M. D. (2012), 'Model-based learning using a mixture of mixtures of Gaussian and uniform distributions', IEEE Transactions on Pattern Analysis and Machine Intelligence 34. To appear. [doi] |
| Andrews, J. L. and McNicholas, P. D. (2012), 'Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions', Statistics and Computing 22. To appear. [doi] |
| Steane, M. A., McNicholas, P. D. and Yada, R. (2012), 'Model-based classification via mixtures of multivariate t-factor analyzers'. Communications in Statistics -- Simulation and Computation 41(4), 510-523. [doi] |
| 2011 |
| McNicholas, P. D. (2011), 'On model-based clustering, classication, and discriminant analysis', Journal of the Iranian Statistical Society 10(2), 181-199. [pdf] |
| Xu, R., McNicholas, P. D., Desmond, A. F. and Darlington, G. A. (2011), 'A first passage time model for long term survivors with competing risks', The International Journal of Biostatistics 7(1), Article 26. [doi] |
| Andrews, J. L. and McNicholas, P. D. (2011), 'Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysis', Journal of Statistical Planning and Inference
141(4), 1479-1486. [doi] |
| Ashlock, D., Schonfeld, J. and McNicholas, P. D. (2011), 'Translation tables: A genetic code in a evolutionary algorithm'. In IEEE Congress on Evolutionary Computation (CEC), New Orleans, pp. 2685-2692. [doi] |
| Andrews, J. L. and McNicholas, P. D. (2011), 'Extending mixtures of multivariate t-factor analyzers', Statistics and Computing 21(3), 361-373. [doi] |
| Andrews, J. L., McNicholas, P. D. and Subedi, S. (2011), 'Model-based classification via mixtures of multivariate t-distributions', Computational Statistics and Data Analysis 55(1), 520-529.
[doi] |
| Balka, J., Desmond, A. F. and McNicholas, P. D. (2011), 'Bayesian and likelihood inference for cure rates based on defective inverse Gaussian regression models', Journal of Applied Statistics 38(1), 127-144.
[doi] |
| 2010 |
| McNicholas, P. D. and Murphy, T. B. (2010), 'Model-based clustering of microarray expression data via latent Gaussian mixture models', Bioinformatics 26(21), 2705-2712.
[doi]
[data] |
| Shaikh, M., McNicholas, P. D. and Desmond, A. F. (2010), 'A pseudo-EM algorithm for clustering incomplete longitudinal data', The International Journal of Biostatistics 6(1), Article 8.
[doi] |
| McNicholas, P. D. and Murphy, T. B. (2010), 'Model-based clustering of longitudinal data', The Canadian Journal of Statistics 38(1), 153-168.
[doi] |
| McNicholas, P. D. (2010), 'Model-based classification using latent Gaussian mixture models', Journal of Statistical Planning and Inference 140(5), 1175-1181.
[doi] |
| McNicholas, P. D., Murphy, T. B., McDaid, A. F. and Frost, D. (2010),
'Serial and parallel implementations of model-based clustering via parsimonious
Gaussian mixture models', Computational Statistics and Data Analysis 54(3), 711-723.
[doi] |
| 2009 |
| Balka, J., Desmond, A. F. and McNicholas, P. D. (2009), 'Review and implementation of cure models based on first
hitting times for Wiener processes', Lifetime Data Analysis 15(2), 147-176.
[doi] |
| McNicholas, P. D. and Zhao, Y. C. (2009), Association rules: An overview, in Y. Zhao, C. Zhang & L. Cao, eds, 'Post-Mining of Association Rules:
Techniques for Effective Knowledge Extraction', IGI Global, pp. 1-10. |
| Fu, Y., Kim, L.-T. and McNicholas, P. D. (2009), 'Changes on enological parameters of white
wine packaged in bag-in-box during secondary shelf life'. Journal of Food Science 74(8), C608-C618.
[doi] |
| 2008 |
| McNicholas, P. D. and Murphy, T. B. (2008), 'Parsimonious Gaussian
mixture models', Statistics and Computing 18(3), 285-296.
[doi] |
| McNicholas, P. D., Murphy, T. B. and O'Regan, M. (2008), 'Standardising the lift of an association rule', Computational Statistics and
Data Analysis 52(10), 4712-4721.
[doi] |
| 2007 |
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McNicholas, P. D. (2007), 'Association rule analysis of CAO data (with discussion)', Journal of the Statistical and Social Inquiry Society of Ireland 36, 44-83.
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Ahmad, K., Rogers, S., McNicholas, P. D. and Collins P. (2007),
'Narrowband UVB and PUVA in the treatment of mycosis fungoides: A
retrospective study', Acta Dermato-Venereologica 87(5), 413-417.
[doi] |
Submitted Papers
| Li, M., Castura, J., Browne, R. P., McNicholas, P. D. and Hasted, A., 'Refinement of a statistical framework for a large-scale consumer quality program for retailer branded products'. |
| McNicholas, P. D., 'On clustering and classification via mixtures of multivariate t-distributions'. |
| Browne, R. P. and McNicholas, P. D., 'Orthogonal Stiefel manifold optimization for rigen-decomposed covariance parameter estimation in mixture models'. |
| Vrbik, I. and McNicholas, P. D., 'Analytic calculations for the EM algorithm for multivariate skew-t mixture models'. |
| Franczak, B. C., Browne, R. P. and McNicholas, P. D., 'Mixtures of shifted asymmetric Laplace distributions'. |
| Andrews, J. L. and McNicholas, P. D., 'Semi-supervised variable selection for clustering'. |
| Zulyniak, M. A., Ralston, J. C., Tucker, A. J., MacKay, K. A., Hillyer, L., McNicholas, P. D., Graham, T. E., Robinson, L. E., Duncan, A. M., Ma, D. W. L. and Mutch, D. M., 'Plasma fatty acids are associated with risk factors for insulin resistance in men'. |
| Liseron-Monfils, C., Ashlock, D. A., McNicholas, P. D., Fauteux, F., Stromvik, M. and Raizada, M. N., 'Promzea: A pipeline for discovery of regulatory motifs in maize and its application to the anthocyanin biosynthetic pathway'. |
| Xia, Y. and McNicholas, P. D., 'The monotone fused LASSO'. |
| McNicholas, P. D., Murphy, T. B., McDaid, A. F. and Banks, L., 'pgmm: Software for model-based clustering and
classification via latent Gaussian mixture models'. |
| Browne, R. P. and McNicholas, P. D., 'Model-based clustering and classification of data with mixed type'. |
| Subedi, S. and McNicholas, P. D., 'A variational Bayes approach to classifying gene expression time course data'. |
Book Review
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McNicholas, P. D. (2009), 'Multivariate and Probabilistic Analyses of Sensory Science Problems', Trends in Food Science and Technology 20, 108-109.
[doi] |
Recent Technical Reports
| McNicholas, P. D., T. B. Murphy, K. R. Jampani, A. F. McDaid, and L. Banks (2011), 'pgmm Version 1.0 for R: Model-based clustering and classification via latent Gaussian mixture models'. Technical Report 2011-320, Department of Mathematics and Statistics, University of Guelph. December 2011. [pdf] |
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