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- Book Reviews 567 The Elements of Statistical Learning: Data Mining, Inference, and
- A simple method for assessing sample sizes in microarray experiments
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- Exploratory screening of genes and clusters from microarray experiments
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- A comparison of fold-change and the t-statistic for microarray data analysis
- Cellular telephones and motor vehicle collisions: some variations on matched
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- A tail strength measure for assessing the overall significance in a dataset
- A simple method for assessing sample sizes in microarray experiments
- PDA: Coordinate 1 Canonical Variate Plot Digit Test Data
- Duda, R. O. & Hart, P. E. (1973), Pattern classification and scene analysis, Wiley, New Friedman, J. (1994), Flexible metric nearest neighbour classification, Technical report, Stan
- August 1996 Bootstrap 1 Two applications of the
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- International Statistical Review (2009), 77, 3, 463482 doi:10.1111/j.1751-5823.2009.00095.x Short Book Reviews
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- The global pairwise approach to radiation hybrid mapping
- Classification by Pairwise Coupling Trevor Hastie \Lambda
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- CrossValidation and the Bootstrap: Estimating the Error Rate of a Prediction Rule
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- July 1997 New Researchers 1 Some thoughts from half a
- October 1999 SPLUS 1 Learning from Data: Statistical
- Margin trees for highdimensional classification Robert Tibshirani # and Trevor Hastie +
- ``Preconditioning'' for feature selection and regression in highdimensional problems
- Ripley, B. (1994). Neural networks and related methods for classification. to appear (with discussion).
- Covariance-regularized regression and classification for high-dimensional problems
- Sample classification from protein mass spectrometry,
- A proposal for variable selection in the Cox model Robert Tibshirani
- Strong Rules for Discarding Predictors in Lasso-type Robert Tibshirani
- Strong Rules for Discarding Predictors in Lasso-type Problems
- Applications of the lasso and grouped lasso to the estimation of sparse graphical models
- Biostatistics (2009), 10, 3, pp. 515534 doi:10.1093/biostatistics/kxp008
- Regularization Paths for Generalized Linear Models via Coordinate Descent
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- A STUDY OF PRE-VALIDATION Holger Hofling
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- On testing the significance of sets of genes Bradley Efron
- "Pre-conditioning" for feature selection and regression in high-dimensional problems
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- original article The new england journal of medicine
- Sample classification from protein mass spectrometry,
- Sparsity and smoothness via the fused lasso Robert Tibshirani,
- Statistical Significance for Genome-Wide Experiments John D. Storey
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- A study of the NIPS feature selection challenge Nicholas Johnson
- Springer Series in Statistics Trevor Hastie
- Cluster validation by prediction strength Robert Tibshirani, Guenther Walther y
- A comparison of some error estimates for neural network models
- Estimating the number of data clusters via the Gap statistic
- BookReviews This sectionwill review thosebookswhosecontentandlevel reflectthe gen-
- Sparse Principal Component Analysis , Trevor Hastie
- Biostatistics (2007), 8, 1, pp. 28 doi:10.1093/biostatistics/kxl005
- Additive Logistic Regression: a Statistical View of Jerome Friedman \Lambda
- Semi-Supervised Methods to Predict Patient Survival
- Forward Stagewise Regression and the Monotone Lasso
- The covariance inflation criterion for adaptive model selection
- Clustering methods for the analysis of DNA microarray data
- Empirical Bayes Analysis of a Microarray Experiment Bradley Efron ,
- Improved detection of di erential gene expression through the singular value
- Statistical Science 2003, Vol. 18, No. 1, 104117
- STATISTICS IN MEDICINE, VOL. 16, 385--395 (1997) THE LASSO METHOD FOR VARIABLE SELECTION
- "Significance Analysis of Microarrays" Users guide and technical document
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- 712 BOOK REVIEWS [1] J. A. Gallian, Contemporary Abstract Al-
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- 2011 Royal Statistical Society 13697412/11/73273 J. R. Statist. Soc. B (2011)
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- April, 2000 Stanford Biostatistics 1 Statistical challenges in the
- The outofbootstrap method for model averaging and selection
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- Adaptive index models for marker-based risk stratification
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- http://genomebiology.com/2000/1/2/research/0003.1 interactions
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- some novel algorithms and applications
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- January 1998 CIC 1 The covariance inflation
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- JSS Journal of Statistical Software MMMMMM YYYY, Volume VV, Issue II. http://www.jstatsoft.org/
- Hierarchical Clustering With Prototypes via Minimax Linkage
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