Paul D. McNicholas
Paul D. McNicholas
Professor & Canada Research Chair, McMaster University, Ontario, Canada
Verified email at math.mcmaster.ca - Homepage
TitleCited byYear
Parsimonious Gaussian mixture models
PD Mcnicholas, TB Murphy
Statistics and Computing 18 (3), 285-296, 2008
2302008
Model-based clustering of microarray expression data via latent Gaussian mixture models
PD McNicholas, TB Murphy
Bioinformatics 26 (21), 2705-2712, 2010
1682010
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
1242012
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
1212010
Mixtures of shifted asymmetriclaplace distributions
BC Franczak, RP Browne, PD McNicholas
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1149-1157, 2013
1092013
Extending mixtures of multivariate t-factor analyzers
JL Andrews, PD Mcnicholas
Statistics and Computing 21 (3), 361-373, 2011
1032011
A mixture of generalized hyperbolic distributions
RP Browne, PD McNicholas
Canadian Journal of Statistics 43 (2), 176-198, 2015
982015
Model‐based clustering of longitudinal data
PD McNicholas, TB Murphy
Canadian Journal of Statistics 38 (1), 153-168, 2010
952010
Mixture Model-Based Classification
PD McNicholas
Chapman & Hall/CRC Press, 2016
942016
Model-based classification using latent Gaussian mixture models
PD McNicholas
Journal of Statistical Planning and Inference 140 (5), 1175-1181, 2010
852010
Model-based clustering
PD McNicholas
Journal of Classification 33 (3), 331-373, 2016
812016
Analytic calculations for the EM algorithm for multivariate skew-t mixture models
I Vrbik, PD McNicholas
Statistics & Probability Letters 82 (6), 1169-1174, 2012
782012
Mixtures of skew-t factor analyzers
PM Murray, RP Browne, PD McNicholas
Computational Statistics & Data Analysis 77, 326-335, 2014
742014
Parsimonious skew mixture models for model-based clustering and classification
I Vrbik, PD Mcnicholas
Computational Statistics & Data Analysis 71, 196-210, 2014
672014
Standardising the lift of an association rule
PD McNicholas, TB Murphy, M O’Regan
Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008
662008
Estimating common principal components in high dimensions
RP Browne, PD Mcnicholas
Advances in Data Analysis and Classification 8 (2), 217-226, 2014
652014
Model-based classification via mixtures of multivariate t-distributions
JL Andrews, PD McNicholas, S Subedi
Computational Statistics & Data Analysis 55 (1), 520-529, 2011
652011
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
632011
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
632009
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
622013
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