| A mixture of generalized hyperbolic distributions RP Browne, PD McNicholas Canadian Journal of Statistics 43 (2), 176-198, 2015 | 205 | 2015 |
| Mixtures of shifted asymmetriclaplace distributions BC Franczak, RP Browne, PD McNicholas IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1149-1157, 2013 | 183 | 2013 |
| Estimating common principal components in high dimensions RP Browne, PD McNicholas Advances in Data Analysis and Classification 8, 217-226, 2014 | 109 | 2014 |
| Mixtures of skew-t factor analyzers PM Murray, RP Browne, PD McNicholas Computational Statistics & Data Analysis 77, 326-335, 2014 | 108 | 2014 |
| Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions R Browne, P McNicholas, M Sparling Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011 | 92 | 2011 |
| Mixtures of multivariate power exponential distributions UJ Dang, RP Browne, PD McNicholas Biometrics 71 (4), 1081-1089, 2015 | 82 | 2015 |
| Model-based clustering, classification, and discriminant analysis of data with mixed type RP Browne, PD McNicholas Journal of Statistical Planning and Inference 142 (11), 2976-2984, 2012 | 76 | 2012 |
| A mixture of generalized hyperbolic factor analyzers C Tortora, PD McNicholas, RP Browne Advances in Data Analysis and Classification 10 (4), 423-440, 2016 | 65 | 2016 |
| A mixture of common skew‐t factor analysers PM Murray, PD McNicholas, RP Browne Stat 3 (1), 68-82, 2014 | 63 | 2014 |
| Multivariate response and parsimony for Gaussian cluster-weighted models UJ Dang, A Punzo, PD McNicholas, S Ingrassia, RP Browne Journal of Classification 34, 4-34, 2017 | 53 | 2017 |
| A mixture of variance-gamma factor analyzers SM McNicholas, PD McNicholas, RP Browne Big and complex data analysis: methodologies and applications, 369-385, 2017 | 44 | 2017 |
| mixture: Mixture models for clustering and classification RP Browne, PD McNicholas R package version 1 (11), 2013 | 44 | 2013 |
| Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models RP Browne, PD McNicholas Statistics and Computing 24, 203-210, 2014 | 41 | 2014 |
| A mixture of coalesced generalized hyperbolic distributions C Tortora, BC Franczak, RP Browne, PD McNicholas Journal of Classification 36, 26-57, 2019 | 38 | 2019 |
| Model based clustering of high-dimensional binary data Y Tang, RP Browne, PD McNicholas Computational Statistics & Data Analysis 87, 84-101, 2015 | 35 | 2015 |
| MixGHD: model based clustering, classification and discriminant analysis using the mixture of generalized hyperbolic distributions C Tortora, RP Browne, BC Franczak, PD McNicholas R package version 1, 2015 | 34 | 2015 |
| Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions K Morris, A Punzo, PD McNicholas, RP Browne Computational Statistics & Data Analysis 132, 145-166, 2019 | 33 | 2019 |
| Hypothesis testing for mixture model selection A Punzo, RP Browne, PD McNicholas Journal of Statistical Computation and Simulation 86 (14), 2797-2818, 2016 | 29 | 2016 |
| Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering PM Murray, RP Browne, PD McNicholas Journal of Multivariate Analysis 161, 141-156, 2017 | 28 | 2017 |
| On nomenclature for, and the relative merits of, two formulations of skew distributions A Azzalini, RP Browne, MG Genton, PD McNicholas Statistics & Probability Letters 110, 201-206, 2016 | 28 | 2016 |
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
