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Advances in Data Analysis and Classification|March 21, 2022
Unobserved classes and extra variables in high-dimensional discriminant analysisMichael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, et al.Bioinformatics (Oxford, England)|August 31, 2010
Model-based clustering of microarray expression data via latent Gaussian mixture modelsPaul D McNicholas, Thomas Brendan MurphyJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 24, 2015
Role Analysis in Networks using Mixtures of Exponential Random Graph ModelsMichael Salter-Townshend, Thomas Brendan MurphyJournal of Classification|October 13, 2021
Co-clustering of Time-Dependent Data via the Shape Invariant ModelAlessandro Casa, Charles Bouveyron, Elena Erosheva, et al.Advances in Data Analysis and Classification|August 31, 2022
Model-based clustering for random hypergraphsTin Lok James Ng, Thomas Brendan MurphyStatistical Methods & Applications|November 29, 2021
Weighted stochastic block modelTin Lok James Ng, Thomas Brendan MurphyThe Annals of Applied Statistics|October 12, 2010
Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity ApplicationsThomas Brendan Murphy, Nema Dean, Adrian E RafteryAnalytica Chimica Acta|March 14, 2021
Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-foodAndrea Cappozzo, Ludovic Duponchel, Francesca Greselin, et al.BMC Medical Informatics and Decision Making|November 19, 2013
Evaluation of prediction models for the staging of prostate cancerSusie Boyce, Yue Fan, Ronald William Watson, et al.Stroke|January 15, 2011
Family-mediated exercise intervention (FAME): evaluation of a novel form of exercise delivery after strokeRose Galvin, Tara Cusack, Eleanor O'Grady, et al.Pageof 4