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Citation: Tibshirani, Robert et Wang,pei, Spatial smoothing and hot spot detection for CGH data using the fused lasso, Biostatistics (Oxford. Print) , 9(1), 2008, pp. 18-29
Citation: Tian, Lu et Tibshirani, Robert, Adaptive index models for marker-based risk stratification, Biostatistics (Oxford. Print) , 12(1), 2011, pp. 68-86
Authors:
Guo, Yaqian
Hastie, Trevor
Tibshirani, Robert
Citation: Guo, Yaqian et al., Regularized linear discriminant analysis and its application in microarrays, Biostatistics (Oxford. Print) , 8(1), 2007, pp. 86-100
Citation: Taylor, Jonathan et Tibshirani, Robert, A tail strength measure for assessing the overall univariate significance in a dataset, Biostatistics (Oxford. Print) , 7(2), 2006, pp. 167-181
Authors:
Witten, Daniela M.
Tibshirani, Robert
Hastie, Trevor
Citation: M. Witten, Daniela et al., A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis, Biostatistics (Oxford. Print) , 10(3), 2009, pp. 515-534
Authors:
Li, Jun
Witten, Daniela M.
Johnstone, Iain M.
Tibshirani, Robert
Citation: Li, Jun et al., Normalization, testing, and false discovery rate estimation for RNA-sequencing data, Biostatistics (Oxford. Print) , 13(3), 2012, pp. 523-538
Authors:
Nowak, Gen
Hastie, Trevor
Pollack, Jonathan R.
Tibshirani, Robert
Citation: Nowak, Gen et al., A fused lasso latent feature model for analyzing multi-sample aCGH data, Biostatistics (Oxford. Print) , 12(4), 2011, pp. 776-791
Authors:
Paul, Debashis
Bair, Eric
Hastie, Trevor
Tibshirani, Robert
Citation: Paul, Debashis et al., "Preconditioning" for Feature Selection and Regression in High-Dimensional Problems, Annals of statistics , 36(4), 2020, pp. 1595-1618
Authors:
Efron, Bradley
Hastie, Trevor
Tibshirani, Robert
Citation: Efron, Bradley et al., Discussion: The Dantzig Selector: Statistical Estimation When p Is Much Larger than n, Annals of statistics , 35(6), 2007, pp. 2358-2364