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), 1160-1167, 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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Articles 1–20