Paul D. McNicholas - Google Scholar Citations

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	All	Since 2015
Citations	3637	2585
h-index	34	31
i10-index	79	73

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Co-authors

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
Jeffrey L. AndrewsAssistant Professor of Statistics, University of British Columbia - Okanagan CampusVerified email at ubc.ca
Sanjeena Dang (Subedi)Binghamton UniversityVerified email at binghamton.edu
Cristina TortoraAssistant Professor San Jose State UniversityVerified email at sjsu.edu
Paula M. MurrayUniversity of GuelphVerified email at uoguelph.ca
Aaron McDaidResearch student, UCD DublinVerified email at ucdconnect.ie
Salvatore IngrassiaFull Professor of Statistics, Università di Catania (Italy)Verified email at unict.it
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
Irene VrbikMcGill UniversityVerified email at mcgill.ca
Utkarsh J. DangBinghamton University, SUNYVerified email at binghamton.edu
Tsung-l LinInstitute of Statistics, National Chung Hsing UniversityVerified email at nchu.edu.tw
Stuart M PhillipsMcMaster UniversityVerified email at mcmaster.ca
Sharon McNicholasMcMaster UniversityVerified email at uoguelph.ca
Dermot FrostTrinity College, DublinVerified email at tcd.ie
Dimitris KarlisProfessor, Dept of Statistics, Athens University of Economics and BusinessVerified email at aueb.gr

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	Cited by	Year
Parsimonious Gaussian mixture models PD Mcnicholas, TB Murphy Statistics and Computing 18 (3), 285-296, 2008	230	2008
Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705-2712, 2010	168	2010
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	123	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	120	2010
Mixtures of shifted asymmetriclaplace distributions BC Franczak, RP Browne, PD McNicholas IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1149-1157, 2013	108	2013
Extending mixtures of multivariate t-factor analyzers JL Andrews, PD Mcnicholas Statistics and Computing 21 (3), 361-373, 2011	103	2011
A mixture of generalized hyperbolic distributions RP Browne, PD McNicholas Canadian Journal of Statistics 43 (2), 176-198, 2015	97	2015
Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010	94	2010
Mixture Model-Based Classification PD McNicholas Chapman & Hall/CRC Press, 2016	93	2016
Model-based classification using latent Gaussian mixture models PD McNicholas Journal of Statistical Planning and Inference 140 (5), 1175-1181, 2010	85	2010
Model-based clustering PD McNicholas Journal of Classification 33 (3), 331-373, 2016	81	2016
Analytic calculations for the EM algorithm for multivariate skew-t mixture models I Vrbik, PD McNicholas Statistics & Probability Letters 82 (6), 1169-1174, 2012	78	2012
Mixtures of skew-t factor analyzers PM Murray, RP Browne, PD McNicholas Computational Statistics & Data Analysis 77, 326-335, 2014	74	2014
Parsimonious skew mixture models for model-based clustering and classification I Vrbik, PD Mcnicholas Computational Statistics & Data Analysis 71, 196-210, 2014	67	2014
Estimating common principal components in high dimensions RP Browne, PD Mcnicholas Advances in Data Analysis and Classification 8 (2), 217-226, 2014	65	2014
Model-based classification via mixtures of multivariate t-distributions JL Andrews, PD McNicholas, S Subedi Computational Statistics & Data Analysis 55 (1), 520-529, 2011	65	2011
Standardising the lift of an association rule PD McNicholas, TB Murphy, M O’Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008	65	2008
Review and implementation of cure models based on first hitting times for Wiener processes J Balka, AF Desmond, PD McNicholas Lifetime data analysis 15 (2), 147, 2009	63	2009
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), 3, 2013	61	2013
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	60	2011

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