Paul D. McNicholas
Orcid: 0000-0002-2482-523XAffiliations:
- McMaster University, Department of Mathematics and Statistics, Hamilton, Canada
- University of Guelph, Canada
According to our database1,
Paul D. McNicholas
authored at least 89 papers
between 2008 and 2024.
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Bibliography
2024
An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation.
CoRR, 2024
2023
Comput. Stat., September, 2023
Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data.
Bioinform., May, 2023
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions.
J. Classif., April, 2023
2022
J. Comput. Graph. Stat., January, 2022
Adv. Data Anal. Classif., 2022
Adv. Data Anal. Classif., 2022
2021
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package.
J. Stat. Softw., 2021
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting.
J. Classif., 2021
J. Classif., 2021
2020
A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions.
SN Comput. Sci., 2020
Pattern Recognit., 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Adv. Data Anal. Classif., 2020
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.
J. Multivar. Anal., 2019
Mixtures of generalized hyperbolic distributions and mixtures of skew-t distributions for model-based clustering with incomplete data.
Comput. Stat. Data Anal., 2019
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions.
Comput. Stat. Data Anal., 2019
Comput. Stat. Data Anal., 2019
On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution.
J. Classif., 2019
A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data.
BMC Bioinform., 2019
2018
Stat. Anal. Data Min., 2018
Pattern Recognit. Lett., 2018
Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.
CoRR, 2018
Special issue on "Science of big data: theory, methods and applications" - Preface by the Guest Editors.
Adv. Data Anal. Classif., 2018
2017
Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering.
J. Multivar. Anal., 2017
Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm.
J. Cheminformatics, 2017
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model.
J. Classif., 2017
J. Classif., 2017
BMC Bioinform., 2017
2016
Comput. Stat. Data Anal., 2016
Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures.
Comput. Stat. Data Anal., 2016
Comput. Stat. Data Anal., 2016
Comput. Stat. Data Anal., 2016
2015
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction.
Stat. Methods Appl., 2015
Corrigendum to "Unsupervised learning via mixtures of skewed distributions with hypercube contours" [Pattern Recognition Letters. 58(1), 69-76].
Pattern Recognit. Lett., 2015
Pattern Recognit. Lett., 2015
Comput. Stat. Data Anal., 2015
2014
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models.
Stat. Comput., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
A gradient method for the monotone fused least absolute shrinkage and selection operator.
Optim. Methods Softw., 2014
Comput. Stat. Data Anal., 2014
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions.
Adv. Data Anal. Classif., 2014
Adv. Data Anal. Classif., 2014
2013
Proceedings of the Statistical Models for Data Analysis, 2013
Discussion of 'Model-based clustering and classification with non-normal mixture distributions' by Lee and McLachlan.
Stat. Methods Appl., 2013
Pattern Recognit. Lett., 2013
Adv. Data Anal. Classif., 2013
Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions.
Adv. Data Anal. Classif., 2013
2012
The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions - The tEIGEN family.
Stat. Comput., 2012
Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Commun. Stat. Simul. Comput., 2012
2011
Comput. Stat. Data Anal., 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models.
Comput. Stat. Data Anal., 2010
Model-based clustering of microarray expression data via latent Gaussian mixture models.
Bioinform., 2010
2008