Paul McNicholas - McMaster Experts

Affiliations

Faculty of Science, McMaster University
Associate Member, Computing and Software, Faculty of Engineering
Professor, Mathematics and Statistics, Faculty of Science
Canada Research Chair in Computational Statistics, McMaster University,
Member, The College of the Royal Society of Canada,

Research Areas

Knowledge representation and machine learning (RA)
Pattern recognition (RA)
Statistics (RA)

Scholarly Activity in McMaster Experts

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selected scholarly activity

books
- Data Science with Julia 2019
- Mixture Model-Based Classification 2016
chapters
- Variable Selection for Clustering Three-Way Data. Advances in Soft Computing. 317-324. 2024
- A Mixture of Variance-Gamma Factor Analyzers. 369-385. 2017
- Families of parsimonious finite mixtures of regression models. 73-84. 2015
- Mixture and latent class models in longitudinal and other settings. 357-370. 2013
- On Clustering and Classification Via Mixtures of Multivariate t-Distributions. Studies in Classification, Data Analysis, and Knowledge Organization. 233-240. 2013
- Association rules: An overview. 1-10. 2009
- Association Rules. 1-10. 2009
- Dimension Reduction in Clustering. 1-7.
conferences
- Resistance Training-Induced Muscle Hypertrophy is Related to Androgen Receptor Content not Intramuscular or Systemic Hormones. Medicine & Science in Sports & Exercise. 810-810. 2018
- Translation tables: A genetic code in a evolutionary algorithm. 2011 IEEE Congress of Evolutionary Computation (CEC). 2685-2692. 2011
- Clustering of fasting glycemic biomarkers is related to levels of cardiovascular disease risk in adults. The FASEB Journal. 2011
- Narrowband ultraviolet (UV) B and psoralen UVA therapy in the treatment of mycosis fungoides: a retrospective study. British Journal of Dermatology. 6-6. 2007
journal articles
- Hidden Markov models for multivariate panel data. Statistics and computing. 34:182. 2024
- Clustering and semi‐supervised classification for clickstream data via mixture models. Canadian Journal of Statistics, The. 52:678-695. 2024
- Editorial: Journal of Classification Vol. 41-2. Journal of Classification. 41:215-215. 2024
- Finding Outliers in Gaussian Model-based Clustering. Journal of Classification. 41:313-337. 2024
- Editorial: Journal of Classification Vol. 41-1. Journal of Classification. 41:1-1. 2024
- The association of physical activity duration and intensity on emotional intelligence in 10–13 year-old Children. Sports Medicine and Health Science. 6:331-337. 2024
- Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions. Journal of Classification. 2024
- Editorial: Journal of Classification Vol. 40-3. Journal of Classification. 40:467-467. 2023
- Parameter-wise co-clustering for high-dimensional data. Computational Statistics. 38:1597-1619. 2023
- Editorial: Journal of Classification Vol. 40-2. Journal of Classification. 40:213-213. 2023
- Visual assessment of matrix‐variate normality. Australian and New Zealand Journal of Statistics. 65:152-165. 2023
- Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data. Bioinformatics. 39:btad167. 2023
- Editorial: Journal of Classification Vol. 40-1. Journal of Classification. 40:1-1. 2023
- Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions. Journal of Classification. 40:145-167. 2023
- Monitoring mobility in older adults using a Global Positioning System (GPS) smartwatch and accelerometer: A validation study. PLoS ONE. 18:e0296159-e0296159. 2023
- VLF: An R package for the analysis of very low frequency variants in DNA sequences. Biodiversity Data Journal. 11:e96480. 2023
- A partial EM algorithm for model‐based clustering with highly diverse missing data patterns. Stat. 11. 2022
- Correction to: Multivariate cluster weighted models using skewed distributions. Advances in Data Analysis and Classification. 16:1097-1097. 2022
- Editorial: Journal of Classification Vol. 39-3. Journal of Classification. 39:409-409. 2022
- Model-based clustering via skewed matrix-variate cluster-weighted models. Journal of Statistical Computation and Simulation. 92:2645-2666. 2022
- Automated detection of motorcycle helmet use. Journal of Road Safety. 33:72-75. 2022
- Editorial: Journal of Classification Vol. 39-2. Journal of Classification. 39:217-217. 2022
- Mixtures of Matrix-Variate Contaminated Normal Distributions. Journal of Computational And Graphical Statistics (JCGS). 31:413-421. 2022
- Editorial: Journal of Classification Vol. 39-1. Journal of Classification. 39:1-2. 2022
- Multivariate cluster weighted models using skewed distributions. Advances in Data Analysis and Classification. 16:93-124. 2022
- Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School. Journal of Autism and Developmental Disorders. 52:392-401. 2022
- Re-engaging in Aging and Mobility Research in the COVID-19 Era: Early Lessons from Pivoting a Large-Scale, Interdisciplinary Study amidst a Pandemic. Canadian Journal on Aging. 40:669-675. 2021
- Editorial: Journal of Classification Vol. 38-3. Journal of Classification. 38:423-424. 2021
- Matrix Normal Cluster-Weighted Models. Journal of Classification. 38:556-575. 2021
- An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering. Journal of Classification. 38:264-279. 2021
- Editorial: Journal of Classification Vol. 38-2. Journal of Classification. 38:187-187. 2021
- Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package. Journal of Statistical Software. 98:1-24. 2021
- A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting. Journal of Classification. 38:89-108. 2021
- Editorial: Journal of Classification Vol. 38-1. Journal of Classification. 38:1-1. 2021
- Clustering discrete-valued time series. Advances in Data Analysis and Classification. 15:209-229. 2021
- Do Different Ascertainment Techniques Identify the Same Individuals as Sarcopenic in the Canadian Longitudinal Study on Aging?. Journal of The American Geriatrics Society. 69:164-172. 2021
- Identification of five important genes to predict glioblastoma subtypes. NOA. 3:vdab144. 2021
- Methodological issues and the impact of age stratification on the proportion of participants with low appendicular lean mass when adjusting for height and fat mass USING LINEAR REGRESSION: RESULTS FROM THE CANADIAN LONGITUDINAL STUDY ON AGING. Journal of Frailty and Aging. 10:1-6. 2021
- Detecting British Columbia coastal rainfall patterns by clustering Gaussian processes. Environmetrics. 31. 2020
- The impact of different diagnostic criteria on the association of sarcopenia with injurious falls in the CLSA. Journal of Cachexia, Sarcopenia and Muscle. 11:1603-1613. 2020
- Editorial: Journal of Classification Vol. 37-3. Journal of Classification. 37:549-549. 2020
- Modeling frequency and severity of claims with the zero-inflated generalized cluster-weighted models. Insurance, Mathematics & Economics. 94:79-93. 2020
- Editorial: Journal of Classification Vol. 37-2. Journal of Classification. 37:275-276. 2020
- Mixtures of Hidden Truncation Hyperbolic Factor Analyzers. Journal of Classification. 37:366-379. 2020
- Mixtures of skewed matrix variate bilinear factor analyzers. Advances in Data Analysis and Classification. 14:415-434. 2020
- A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions. SN Computer Science. 1:65. 2020
- Flexible High-Dimensional Unsupervised Learning with Missing Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42:610-621. 2020
- High-dimensional unsupervised classification via parsimonious contaminated mixtures. Pattern Recognition. 98:107031-107031. 2020
- Methodological Issues and the Impact of Age Stratification on the Proportion of Participants with Low Appendicular Lean Mass When Adjusting for Height and Fat Mass Using Linear Regression: Results from the Canadian Longitudinal Study on Aging. Journal of Nutrition, Health and Aging. 2020
- Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers. Behaviormetrics: Quantitative Approaches to Human Behavior. 5:177-196. 2020
- A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data. BMC Bioinformatics. 20:394. 2019
- Reliability of transcranial magnetic stimulation measures of afferent inhibition. Brain Research. 1723:146394-146394. 2019
- Assessing and Visualizing Matrix Variate Normality 2019
- Clustering Higher Order Data: An Application to Pediatric Multi-variable Longitudinal Data 2019
- Finding Outliers in Gaussian Model-Based Clustering 2019
- On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution. Journal of Classification. 36:232-265. 2019
- Data science. Facets. 4:131-135. 2019
- Note of Clarification on ‘Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering’, by Murray, Browne, and McNicholas, J. Multivariate Anal. 161 (2017) 141–156. Journal of Multivariate Analysis. 171:475-476. 2019
- A Mixture of Coalesced Generalized Hyperbolic Distributions. Journal of Classification. 36:26-57. 2019
- Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions. Computational Statistics and Data Analysis. 132:145-166. 2019
- Editorial for the 4th Special Issue on advances in mixture models. Computational Statistics and Data Analysis. 132:143-144. 2019
- Mixtures of generalized hyperbolic distributions and mixtures of skew-t distributions for model-based clustering with incomplete data. Computational Statistics and Data Analysis. 130:18-41. 2019
- Three skewed matrix variate distributions. Statistics and Probability Letters. 145:103-109. 2019
- The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses. Age and Ageing. 48:48-56. 2019
- Special issue on “Science of big data: theory, methods and applications”. Advances in Data Analysis and Classification. 12:823-825. 2018
- Standardizing interestingness measures for association rules. Statistical Analysis and Data Mining. 11:282-295. 2018
- Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers 2018
- Subspace clustering with the multivariate-t distribution. Pattern Recognition Letters. 112:297-302. 2018
- Finite mixtures of skewed matrix variate distributions. Pattern Recognition. 80:83-93. 2018
- ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions. Journal of Statistical Software. 85:1-25. 2018
- Statistical challenges of administrative and transaction data. Journal of the Royal Statistical Society: Series A (Statistics in Society). 181:578-605. 2018
- Robust Model-Based Clustering of Voting Records 2018
- Resistance Training-Induced Muscle Hypertrophy is Related to Androgen Receptor Content not Intramuscular or Systemic Hormones. Medicine & Science in Sports & Exercise. 50:810-810. 2018
- A Latent Gaussian Mixture Model for Clustering Longitudinal Data 2018
- Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models 2018
- teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution. Journal of Statistical Software. 83:1-32. 2018
- Flexible clustering of high‐dimensional data via mixtures of joint generalized hyperbolic distributions. Stat. 7. 2018
- Muscle Androgen Receptor Content but Not Systemic Hormones Is Associated With Resistance Training-Induced Skeletal Muscle Hypertrophy in Healthy, Young Men. Frontiers in Physiology. 9:1373. 2018
- Predicting hospital and emergency department utilization among community-dwelling older adults: Statistical and machine learning approaches. PLoS ONE. 13:e0206662-e0206662. 2018
- Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm. Journal of Cheminformatics. 9:46. 2017
- Two-way learning with one-way supervision for gene expression data. BMC Bioinformatics. 18:150. 2017
- Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering. Journal of Multivariate Analysis. 161:141-156. 2017
- A mixture of SDB skew- t factor analyzers. Econometrics and Statistics. 3:160-168. 2017
- Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model. Journal of Classification. 34:249-293. 2017
- Special issue on mixture models. Econometrics and Statistics. 3:89-90. 2017
- Clustering Airbnb Reviews 2017
- Model‐based clustering for spatiotemporal data on air quality monitoring. Environmetrics. 28. 2017
- Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. Journal of Classification. 34:4-34. 2017
- Finite Mixtures of Skewed Matrix Variate Distributions 2017
- Extending Growth Mixture Models Using Continuous Non-Elliptical Distributions 2017
- A matrix variate skew‐t distribution. Stat. 6:160-170. 2017
- A mixture of generalized hyperbolic factor analyzers. Advances in Data Analysis and Classification. 10:423-440. 2016
- Handling missing data in consumer hedonic tests arising from direct scaling. Journal of Sensory Studies. 31:514-523. 2016
- Parsimonious mixtures of multivariate contaminated normal distributions. Biometrical Journal. 58:1506-1537. 2016
- Model-Based Clustering. Journal of Classification. 33:331-373. 2016
- Hypothesis Testing for Mixture Model Selection. Journal of Statistical Computation and Simulation. 86:2797-2818. 2016
- Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures. Computational Statistics and Data Analysis. 97:133-150. 2016
- On nomenclature for, and the relative merits of, two formulations of skew distributions. Statistics and Probability Letters. 110:201-206. 2016
- Clustering with the multivariate normal inverse Gaussian distribution. Computational Statistics and Data Analysis. 93:18-30. 2016
- Modelling receiver operating characteristic curves using Gaussian mixtures. Computational Statistics and Data Analysis. 93:192-208. 2016
- The Third Special Issue on Advances in Mixture Models. Computational Statistics and Data Analysis. 93:2-4. 2016
- Mixtures of Multivariate Power Exponential Distributions. Biometrics. 71:1081-1089. 2015
- Cluster-weighted $$t$$ t -factor analyzers for robust model-based clustering and dimension reduction. Statistical Methods and Applications. 24:623-649. 2015
- Fractionally-Supervised Classification. Journal of Classification. 32:359-381. 2015
- Corrigendum to ``Unsupervised learning via mixtures of skewed distributions with hypercube contours'' [Pattern Recognition Letters. 58(1), 69–76]. Pattern Recognition Letters. 62:68-68. 2015
- Product selection for liking studies: The sensory informed design. Food Quality and Preference. 44:36-43. 2015
- Model based clustering of high-dimensional binary data. Computational Statistics and Data Analysis. 87:84-101. 2015
- A mixture of generalized hyperbolic distributions. Canadian Journal of Statistics, The. 43:176-198. 2015
- Mixture model averaging for clustering. Advances in Data Analysis and Classification. 9:197-217. 2015
- Unsupervised learning via mixtures of skewed distributions with hypercube contours. Pattern Recognition Letters. 58:69-76. 2015
- Families of Parsimonious Finite Mixtures of Regression Models. Studies in Classification, Data Analysis, and Knowledge Organization. 50:73-84. 2015
- Multivariate sharp quadratic bounds via $\mathbf{\Sigma}$-strong convexity and the Fenchel connection. Electronic Journal of Statistics. 9:1913-1938. 2015
- Metabolic and co-expression network-based analyses associated with nitrate response in rice. BMC Genomics. 15:1056. 2014
- Nitrogen limitation and high density responses in rice suggest a role for ethylene under high density stress. BMC Genomics. 15:681. 2014
- Inhibition of stearoyl-CoA desaturase-1 in differentiating 3T3-L1 preadipocytes upregulates elongase 6 and downregulates genes affecting triacylglycerol synthesis. International Journal of Obesity. 38:1449-1456. 2014
- Mixtures of skew-tfactor analyzers. Computational Statistics and Data Analysis. 77:326-335. 2014
- Variable Selection for Clustering and Classification. Journal of Classification. 31:136-153. 2014
- An Adaptive LASSO-Penalized BIC 2014
- Estimating common principal components in high dimensions. Advances in Data Analysis and Classification. 8:217-226. 2014
- Mixtures of Shifted AsymmetricLaplace Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36:1149-1157. 2014
- Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. Advances in Data Analysis and Classification. 8:167-193. 2014
- A gradient method for the monotone fused least absolute shrinkage and selection operator. Optimization Methods and Software. 29:463-483. 2014
- Capturing patterns via parsimonious mixture models. Statistics and Probability Letters. 88:80-87. 2014
- A LASSO-penalized BIC for mixture model selection. Advances in Data Analysis and Classification. 8:45-61. 2014
- A mixture of common skew‐t factor analysers. Stat. 3:68-82. 2014
- Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models. Statistics and computing. 24:203-210. 2014
- Parsimonious skew mixture models for model-based clustering and classification. Computational Statistics and Data Analysis. 71:196-210. 2014
- The 2nd special issue on advances in mixture models. Computational Statistics and Data Analysis. 71:1-2. 2014
- Erratum to “Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions” [Statist. Probab. Lett. 83 (9) (2013) 2088–2093]. Statistics and Probability Letters. 85:168-168. 2014
- Accelerated Failure Time Models for Competing Risks in a Cluster Weighted Modelling Framework 2013
- Genome-wide expression profiling of maize in response to individual and combined water and nitrogen stresses. BMC Genomics. 14:3. 2013
- Promzea: a pipeline for discovery of co-regulatory motifs in maize and other plant species and its application to the anthocyanin and phlobaphene biosynthetic pathways and the Maize Development Atlas. BMC Plant Biology. 13:42. 2013
- Discussion of ‘Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan. Statistical Methods and Applications. 22:467-472. 2013
- Parsimonious Shifted Asymmetric Laplace Mixtures 2013
- Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. Advances in Data Analysis and Classification. 7:321-338. 2013
- Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions. Statistics and Probability Letters. 83:2088-2093. 2013
- Using evolutionary algorithms for model-based clustering. Pattern Recognition Letters. 34:987-992. 2013
- Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models 2013
- Clustering and classification via cluster-weighted factor analyzers. Advances in Data Analysis and Classification. 7:5-40. 2013
- A Partial EM Algorithm for Clustering White Breads 2013
- Model-based clustering, classification, and discriminant analysis of data with mixed type. Journal of Statistical Planning and Inference. 142:2976-2984. 2012
- Vaccenic acid in serum triglycerides is associated with markers of insulin resistance in men. Applied Physiology, Nutrition and Metabolism. 37:1003-1007. 2012
- Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions. Statistics and computing. 22:1021-1029. 2012
- Analytic calculations for the EM algorithm for multivariate skew- mixture models. Statistics and Probability Letters. 82:1169-1174. 2012
- Clustering gene expression time course data using mixtures of multivariate t-distributions. Journal of Statistical Planning and Inference. 142:1114-1127. 2012
- Model-Based Classification via Mixtures of Multivariatet-Factor Analyzers. Communications in Statistics Part B: Simulation and Computation. 41:510-523. 2012
- Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34:814-817. 2012
- The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9:629-636. 2012
- Caloric Restriction Induces Changes in Insulin and Body Weight Measurements That Are Inversely Associated with Subsequent Weight Regain. PLoS ONE. 7:e42858-e42858. 2012
- On model-based clustering, classification, and discriminant analysis. Journal of the Iranian Statistical Society. 10:181-199. 2011
- Extending mixtures of multivariate t-factor analyzers. Statistics and computing. 21:361-373. 2011
- Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysis. Journal of Statistical Planning and Inference. 141:1479-1486. 2011
- A First Passage Time Model for Long-Term Survivors with Competing Risks. International Journal of Biostatistics. 7:1-15. 2011
- Bayesian and likelihood inference for cure rates based on defective inverse Gaussian regression models. Journal of Applied Statistics. 38:127-144. 2011
- Model-based classification via mixtures of multivariate -distributions. Computational Statistics and Data Analysis. 55:520-529. 2011
- The relationship between plasma fatty acids and risk factors for insulin resistance in men. Canadian Journal of Diabetes. 35:206-207. 2011
- Model-based clustering of microarray expression data via latent Gaussian mixture models. Bioinformatics. 26:2705-2712. 2010
- Model-based classification using latent Gaussian mixture models. Journal of Statistical Planning and Inference. 140:1175-1181. 2010
- Model‐based clustering of longitudinal data. Canadian Journal of Statistics, The. 38:153-168. 2010
- Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models. Computational Statistics and Data Analysis. 54:711-723. 2010
- A Pseudo-EM Algorithm for Clustering Incomplete Longitudinal Data. International Journal of Biostatistics. 6:Article-8. 2010
- Changes on Enological Parameters of White Wine Packaged in Bag‐in‐Box during Secondary Shelf Life. Journal of Food Science. 74:C608-C618. 2009
- Review and implementation of cure models based on first hitting times for Wiener processes. Lifetime Data Analysis. 15:147-176. 2009
- . Trends in Food Science & Technology. 20:108-109. 2009
- Parsimonious Gaussian mixture models. Statistics and computing. 18:285-296. 2008
- Standardising the lift of an association rule. Computational Statistics and Data Analysis. 52:4712-4721. 2008
- Narrowband UVB and PUVA in the Treatment of Mycosis Fungoides: A Retrospective Study. Acta Dermato-Venereologica. 87:413-417. 2007
- Narrowband UVB and PUVA in the Treatment of Mycosis Fungoides: A Retrospective Study. Acta Dermato-Venereologica. 87:413-417. 2007
- Review of: Multivariate and Probabilistic Analyses of Sensory Science Problems. Trends in Food Science & Technology. 20:108-109.
preprints