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Robert Tibshirani
Results: 15

#	Item
1	Empirical Bayes Analysis of a Microarray Experiment Bradley Efron, Robert Tibshirani, John D. Storey, and Virginia Tusher Microarrays are a novel technology that facilitates the simultaneous measurement of thousands of g Add to Reading List Source URL: genomics.princeton.edu Language: English - Date: 2008-09-06 00:24:49
2	Sparse Principal Component Analysis Hui Zou∗, Trevor Hastie†, Robert Tibshirani‡ April 26, 2004 Abstract Principal component analysis (PCA) is widely used in data processing and dimensionality Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-07-15 04:52:49
3	On testing the significance of sets of genes Bradley Efron∗ and Robert Tibshirani † August 17, 2006 Add to Reading List Source URL: statweb.stanford.edu - Date: 2008-07-03 14:20:22
4	42 In praise of sparsity and convexity Robert J. Tibshirani Department of Statistics, Stanford, CA To celebrate the 50th anniversary of COPSS, I discuss some examples of exciting developments of sparsity and convexity, Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2013-12-13 12:42:42 Least-angle regression Elastic net regularization Least squares Regularization Stepwise regression Compressed sensing Tikhonov regularization Degrees of freedom Additive model Statistics Regression analysis Linear regression
5	PDF Document Add to Reading List Source URL: math.agrocampus-ouest.fr Language: English - Date: 2011-12-19 09:51:24 Robert Tibshirani Regularization Machine learning Linear regression Tikhonov regularization Logistic regression Generalized linear model LogitBoost Additive model Statistics Regression analysis Elastic net regularization
6	1 The lasso: some novel algorithms and applications Robert Tibshirani Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2011-02-22 20:10:13 Learning Machine learning Robert Tibshirani Linear regression Statistics Regression analysis Cybernetics
7	Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning, Springer Series in Statistics, 2001, pp. xvi+533. This is a great book. All three authors have track records for clear expositi Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2004-03-05 12:46:46 Statistical theory Design of experiments Scientific method Quality Statistical methods Wavelet Algorithm Probability Complexity Science Statistics Information
8	Nearly-Isotonic Regression Ryan J. Tibshirani∗, Holger Hoefling†, Robert Tibshirani‡ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-05-07 09:50:58 Regression analysis Mathematical optimization Convex optimization Mathematical analysis Spectral theory Statistics Isotonic regression Numerical analysis
9	A Bias Correction for the Minimum Error Rate in Cross-validation Ryan J. Tibshirani∗ Robert Tibshirani† Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-01-11 01:57:27 Statistical theory Statistical inference Data analysis Cross-validation Bootstrapping Supervised learning M-estimator Gaussian function Loss function Statistics Estimation theory Machine learning
10	Strong Rules for Discarding Predictors in Lasso-type Problems Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, and Ryan J. Tibshirani Departments of Statistics and Health Resear Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-12-11 23:25:51 Elastic net regularization Convex optimization Lasso Regression analysis Statistics Linear regression