J. S. Marron
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Repeated observation of breast tumor subtypes in independent gene expression data sets
T Sørlie, R Tibshirani, J Parker, T Hastie, JS Marron, A Nobel, S Deng, ...
Proceedings of the national academy of sciences 100 (14), 8418-8423, 2003
Supervised risk predictor of breast cancer based on intrinsic subtypes
JS Parker, M Mullins, MCU Cheang, S Leung, D Voduc, T Vickery, ...
Journal of clinical oncology 27 (8), 1160, 2009
Comprehensive genomic characterization of squamous cell lung cancers
Cancer Genome Atlas Research Network
Nature 489 (7417), 519, 2012
The molecular portraits of breast tumors are conserved across microarray platforms
Z Hu, C Fan, DS Oh, JS Marron, X He, BF Qaqish, C Livasy, LA Carey, ...
BMC genomics 7, 1-12, 2006
A brief survey of bandwidth selection for density estimation
MC Jones, JS Marron, SJ Sheather
Journal of the American statistical association 91 (433), 401-407, 1996
A method for normalizing histology slides for quantitative analysis
M Macenko, M Niethammer, JS Marron, D Borland, JT Woosley, X Guan, ...
2009 IEEE international symposium on biomedical imaging: from nano to macro …, 2009
Predicting fault incidence using software change history
TL Graves, AF Karr, JS Marron, H Siy
IEEE Transactions on software engineering 26 (7), 653-661, 2000
Exact mean integrated squared error
JS Marron, MP Wand
The Annals of Statistics 20 (2), 712-736, 1992
Does code decay? assessing the evidence from change management data
SG Eick, TL Graves, AF Karr, JS Marron, A Mockus
IEEE transactions on software engineering 27 (1), 1-12, 2001
SiZer for exploration of structures in curves
P Chaudhuri, JS Marron
Journal of the American Statistical Association 94 (447), 807-823, 1999
Comparison of data-driven bandwidth selectors
BU Park, JS Marron
Journal of the American Statistical Association 85 (409), 66-72, 1990
Optimal bandwidth selection in nonparametric regression function estimation
W Hardle, JS Marron
The Annals of Statistics, 1465-1481, 1985
Geometric representation of high dimension, low sample size data
P Hall, JS Marron, A Neeman
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005
How far are automatically chosen regression smoothing parameters from their optimum?
W Härdle, P Hall, JS Marron
Journal of the American Statistical Association 83 (401), 86-95, 1988
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
EF Lock, KA Hoadley, JS Marron, AB Nobel
The annals of applied statistics 7 (1), 523, 2013
Adjustment of systematic microarray data biases
M Benito, J Parker, Q Du, J Wu, D Xiang, CM Perou, JS Marron
Bioinformatics 20 (1), 105-114, 2004
Robust principal component analysis for functional data
N Locantore, JS Marron, DG Simpson, N Tripoli, JT Zhang, KL Cohen, ...
Test 8, 1-73, 1999
Distance-weighted discrimination
JS Marron, MJ Todd, J Ahn
Journal of the American Statistical Association 102 (480), 1267-1271, 2007
Characterization of HPV and host genome interactions in primary head and neck cancers
M Parfenov, CS Pedamallu, N Gehlenborg, SS Freeman, L Danilova, ...
Proceedings of the National Academy of Sciences 111 (43), 15544-15549, 2014
Transformations in density estimation
MP Wand, JS Marron, D Ruppert
Journal of the American Statistical Association 86 (414), 343-353, 1991
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