Jeffrey L. Andrews
Jeffrey L. Andrews
Assistant Professor of Statistics, University of British Columbia - Okanagan Campus
Verified email at ubc.ca - Homepage
Title
Cited by
Cited by
Year
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
1252012
Extending mixtures of multivariate t-factor analyzers
JL Andrews, PD Mcnicholas
Statistics and Computing 21 (3), 361-373, 2011
1042011
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
Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysis
JL Andrews, PD McNicholas
Journal of Statistical Planning and Inference 141 (4), 1479-1486, 2011
582011
Variable selection for clustering and classification
JL Andrews, PD McNicholas
Journal of Classification 31 (2), 136-153, 2014
522014
teigen: Model-based clustering and classification with the multivariate t-distribution
JL Andrews, PD McNicholas
R package version 1, 24-46, 2012
272012
Using evolutionary algorithms for model-based clustering
JL Andrews, PD Mcnicholas
Pattern Recognition Letters 34 (9), 987-992, 2013
162013
teigen: An R package for model-based clustering and classification via the multivariate t distribution
JL Andrews, JR Wickins, NM Boers, PD McNicholas
Journal of Statistical Software 83 (7), 1-32, 2018
132018
vscc: Variable selection for clustering and classification
JL Andrews, PD McNicholas
R package version 0.2, 2013
92013
Addressing overfitting and underfitting in Gaussian model-based clustering
JL Andrews
Computational Statistics & Data Analysis 127, 160-171, 2018
32018
EXPRESS: Monitoring Ionizing Radiation-Induced Cellular Responses Using Raman Spectroscopy, Non-Negative Matrix Factorization, and Non-Negative Least Squares
X Deng, R Ali-Adeeb, J Andrews, P Shreeves, J Lum, A Brolo, A Jirasek
Applied Spectroscopy, 0003702820906221, 2020
2020
Longitudinal linear combination test for gene set analysis
EK Moez, M Hajihosseini, JL Andrews, I Dinu
BMC bioinformatics 20 (1), 650, 2019
2019
A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers
P Shreeves, JL Andrews
Stat 8 (1), e243, 2019
2019
Package ‘teigen’
JL Andrews, JR Wickins, NM Boers, PD McNicholas, MJL Andrews
2018
Parallelization of the Mixtures of Multivariatet-Factor Analyzers Software
M Chalifour, JL Andrews
Cancer 1394, 300.21, 2015
2015
Package ‘mmtfa’
JL Andrews, PD McNicholas, M Chalifour, MJL Andrews
2015
Guest Reviewers, Journal of Classification Volume 29, 2012
A Albatineh, K Greene, J Andrews, P Groenen, R Artstein, B Habing, ...
Journal of Classification 29, 2-3, 2012
2012
Model-based Learning: t-Families, Variable Selection, and Parameter Estimation
JL Andrews
2012
Extending mixtures of multivariate t-factors
JL Andrews
University of Guelph, 2010
2010
Clustering medication compliance using rank profiles
JL Andrews
Acadia University, 2008
2008
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