Paul D. McNicholas

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Ryan BrowneUniversity of WaterlooVerified email at uwaterloo.ca
Antonio PunzoFull Professor of Statistics, University of CataniaVerified email at unict.it
Brendan MurphyUniversity College DublinVerified email at ucd.ie
Brian C. FranczakMacEwan UniversityVerified email at macewan.ca
Sanjeena Dang (Subedi)Associate Professor and Canada Research Chair, Carleton UniversityVerified email at math.carleton.ca
Jeffrey L. AndrewsAssociate Professor of Statistics, University of British Columbia - Okanagan CampusVerified email at ubc.ca
Cristina TortoraAssociate Professor San Jose State UniversityVerified email at sjsu.edu
Stuart M PhillipsMcMaster UniversityVerified email at mcmaster.ca
Aaron McDaidIn industry now, after a postdoc in statistical genetics. Might return to bioinformatics!Verified email at ucdconnect.ie
Steven RothsteinProfessor of Molecular and Cellular Biology, University of GuelphVerified email at uoguelph.ca
Salvatore IngrassiaFull Professor of Statistics, Università di Catania (Italy)Verified email at unict.it
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
Utkarsh J. DangCarleton UniversityVerified email at carleton.ca
David M MutchAssociate Professor, University of GuelphVerified email at uoguelph.ca
Irene VrbikUniversity British Columbia OkanaganVerified email at ubc.ca
Tsung-l LinInstitute of Statistics, National Chung Hsing UniversityVerified email at nchu.edu.tw
Jessica C. RalstonUniversity College DublinVerified email at ucd.ie
Sharon McNicholasMcMaster UniversityVerified email at uoguelph.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	319	2008
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	234	2019
Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705-2712, 2010	213	2010
Mixture Model-Based Classification PD McNicholas Chapman & Hall/CRC Press, 2016	200	2016
Model-based clustering PD McNicholas Journal of Classification 33 (3), 331-373, 2016	176	2016
A mixture of generalized hyperbolic distributions RP Browne, PD McNicholas Canadian Journal of Statistics 43 (2), 176-198, 2015	163	2015
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	156	2012
Mixtures of shifted asymmetriclaplace distributions BC Franczak, RP Browne, PD McNicholas IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1149-1157, 2013	152	2013
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	150	2010
Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010	128	2010
Extending mixtures of multivariate t-factor analyzers JL Andrews, PD McNicholas Statistics and Computing 21 (3), 361-373, 2011	115	2011
Standardising the lift of an association rule PD McNicholas, TB Murphy, M O’Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008	112	2008
Model-based classification using latent Gaussian mixture models PD McNicholas Journal of Statistical Planning and Inference 140 (5), 1175-1181, 2010	109	2010
Mixtures of skew-t factor analyzers PM Murray, RP Browne, PD McNicholas Computational Statistics & Data Analysis 77, 326-335, 2014	102	2014
Muscle androgen receptor content but not systemic hormones is associated with resistance training-induced skeletal muscle hypertrophy in healthy, young men RW Morton, K Sato, MPB Gallaugher, SY Oikawa, PD McNicholas, ... Frontiers in physiology, 1373, 2018	99	2018
Parsimonious skew mixture models for model-based clustering and classification I Vrbik, PD McNicholas Computational Statistics & Data Analysis 71, 196-210, 2014	91	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	89	2012
Estimating common principal components in high dimensions RP Browne, PD McNicholas Advances in Data Analysis and Classification 8 (2), 217-226, 2014	85	2014
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	85	2013
Parsimonious mixtures of multivariate contaminated normal distributions A Punzo, PD McNicholas Biometrical Journal 58 (6), 1506-1537, 2016	84	2016

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