Paul D. McNicholas

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Ryan BrowneUniversity of WaterlooVerified email at uwaterloo.ca
Brendan MurphyUniversity College DublinVerified email at ucd.ie
Antonio PunzoFull Professor of Statistics, University of CataniaVerified email at unict.it
Brian C. FranczakMacEwan UniversityVerified email at macewan.ca
Sanjeena Dang (Subedi)Binghamton UniversityVerified email at binghamton.edu
Jeffrey L. AndrewsAssistant Professor of Statistics, University of British Columbia - Okanagan CampusVerified email at ubc.ca
Cristina TortoraAssistant Professor San Jose State UniversityVerified email at sjsu.edu
Paula M. MurrayUniversity of GuelphVerified email at uoguelph.ca
Salvatore IngrassiaFull Professor of Statistics, Università di Catania (Italy)Verified email at unict.it
Aaron McDaidResearch student, UCD DublinVerified email at ucdconnect.ie
Stuart M PhillipsMcMaster UniversityVerified email at mcmaster.ca
Katherine MorrisOntario College of PharmacistsVerified email at ocpinfo.com
Steven RothsteinProfessor of Molecular and Cellular Biology, University of GuelphVerified email at uoguelph.ca
David M MutchAssociate Professor, University of GuelphVerified email at uoguelph.ca
Utkarsh J. DangBinghamton University, SUNYVerified email at binghamton.edu
Irene VrbikUniversity British Columbia OkanaganVerified email at ubc.ca
Parminder RainaProfessor, McMaster UniversityVerified email at mcmaster.ca
Lehana ThabaneProfessor and Associate Chair, Health Research Methods, Evidence, and Impact, McMaster UniversityVerified email at mcmaster.ca
Russell Jude de SouzaAssociate Professor, McMaster UniversityVerified email at mcmaster.ca
Alexandra MayhewMcMaster UniversityVerified email at mcmaster.ca

Paul D. McNicholas

Professor & Canada Research Chair, McMaster University, Ontario, Canada

Verified email at math.mcmaster.ca - Homepage

Classification Computational statistics Mixture models Model-based clustering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Parsimonious Gaussian mixture models PD McNicholas, TB Murphy Statistics and Computing 18 (3), 285-296, 2008	268	2008
Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705-2712, 2010	193	2010
Mixture Model-Based Classification PD McNicholas Chapman & Hall/CRC Press, 2016	148	2016
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions JL Andrews, PD McNicholas Statistics and Computing 22 (5), 1021-1029, 2012	141	2012
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models PD McNicholas, TB Murphy, AF McDaid, D Frost Computational Statistics & Data Analysis 54 (3), 711-723, 2010	136	2010
A mixture of generalized hyperbolic distributions RP Browne, PD McNicholas Canadian Journal of Statistics 43 (2), 176-198, 2015	131	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	127	2013
Model-based clustering PD McNicholas Journal of Classification 33 (3), 331-373, 2016	117	2016
Extending mixtures of multivariate t-factor analyzers JL Andrews, PD McNicholas Statistics and Computing 21 (3), 361-373, 2011	112	2011
Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010	108	2010
Model-based classification using latent Gaussian mixture models PD McNicholas Journal of Statistical Planning and Inference 140 (5), 1175-1181, 2010	92	2010
The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses AJ Mayhew, K Amog, S Phillips, G Parise, PD McNicholas, RJ De Souza, ... Age and ageing 48 (1), 48-56, 2019	91	2019
Mixtures of skew-t factor analyzers PM Murray, RP Browne, PD McNicholas Computational Statistics & Data Analysis 77, 326-335, 2014	87	2014
Analytic calculations for the EM algorithm for multivariate skew-t mixture models I Vrbik, PD McNicholas Statistics & Probability Letters 82 (6), 1169-1174, 2012	87	2012
Standardising the lift of an association rule PD McNicholas, TB Murphy, M O’Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008	83	2008
Parsimonious skew mixture models for model-based clustering and classification I Vrbik, PD McNicholas Computational Statistics & Data Analysis 71, 196-210, 2014	81	2014
Model-based learning using a mixture of mixtures of Gaussian and uniform distributions RP Browne, PD McNicholas, MD Sparling IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (4), 814-817, 2011	76	2011
Model-based classification via mixtures of multivariate t-distributions JL Andrews, PD McNicholas, S Subedi Computational Statistics & Data Analysis 55 (1), 520-529, 2011	75	2011
Genome-wide expression profiling of maize in response to individual and combined water and nitrogen stresses S Humbert, S Subedi, J Cohn, B Zeng, YM Bi, X Chen, T Zhu, ... BMC genomics 14 (1), 1-13, 2013	72	2013
Narrowband UVB and PUVA in the treatment of mycosis fungoides: a retrospective study K Ahmad, S Rogers, PD McNicholas, P Collins Acta dermato-venereologica 87 (5), 413-417, 2007	72	2007

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