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Paul D. McNicholas
Paul D. McNicholas
Professor & Canada Research Chair, McMaster University, Ontario, Canada
Verified email at math.mcmaster.ca - Homepage
Title
Cited by
Cited by
Year
Parsimonious Gaussian mixture models
PD McNicholas, TB Murphy
Statistics and Computing 18 (3), 285-296, 2008
3192008
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
2342019
Model-based clustering of microarray expression data via latent Gaussian mixture models
PD McNicholas, TB Murphy
Bioinformatics 26 (21), 2705-2712, 2010
2132010
Mixture Model-Based Classification
PD McNicholas
Chapman & Hall/CRC Press, 2016
2002016
Model-based clustering
PD McNicholas
Journal of Classification 33 (3), 331-373, 2016
1762016
A mixture of generalized hyperbolic distributions
RP Browne, PD McNicholas
Canadian Journal of Statistics 43 (2), 176-198, 2015
1632015
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
1562012
Mixtures of shifted asymmetriclaplace distributions
BC Franczak, RP Browne, PD McNicholas
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1149-1157, 2013
1522013
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
1502010
Model‐based clustering of longitudinal data
PD McNicholas, TB Murphy
Canadian Journal of Statistics 38 (1), 153-168, 2010
1282010
Extending mixtures of multivariate t-factor analyzers
JL Andrews, PD McNicholas
Statistics and Computing 21 (3), 361-373, 2011
1152011
Standardising the lift of an association rule
PD McNicholas, TB Murphy, M O’Regan
Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008
1122008
Model-based classification using latent Gaussian mixture models
PD McNicholas
Journal of Statistical Planning and Inference 140 (5), 1175-1181, 2010
1092010
Mixtures of skew-t factor analyzers
PM Murray, RP Browne, PD McNicholas
Computational Statistics & Data Analysis 77, 326-335, 2014
1022014
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
992018
Parsimonious skew mixture models for model-based clustering and classification
I Vrbik, PD McNicholas
Computational Statistics & Data Analysis 71, 196-210, 2014
912014
Analytic calculations for the EM algorithm for multivariate skew-t mixture models
I Vrbik, PD McNicholas
Statistics & Probability Letters 82 (6), 1169-1174, 2012
892012
Estimating common principal components in high dimensions
RP Browne, PD McNicholas
Advances in Data Analysis and Classification 8 (2), 217-226, 2014
852014
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
852013
Parsimonious mixtures of multivariate contaminated normal distributions
A Punzo, PD McNicholas
Biometrical Journal 58 (6), 1506-1537, 2016
842016
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