# R. Tibshirani

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- Publications
- Influence

Regression Shrinkage and Selection via the Lasso

- R. Tibshirani
- Mathematics
- 1996

SUMMARY We propose a new method for estimation in linear models. The 'lasso' minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a… Expand

Significance analysis of microarrays applied to the ionizing radiation response

- V. G. Tusher, R. Tibshirani, G. Chu
- Medicine, Biology
- Proceedings of the National Academy of Sciences…
- 17 April 2001

Microarrays can measure the expression of thousands of genes to identify changes in expression between different biological states. Methods are needed to determine the significance of these changes… Expand

The Elements of Statistical Learning

- T. Hastie, R. Tibshirani, J. Friedman
- Computer Science
- 2001

Least angle regression

- B. Efron, T. Hastie, I. Johnstone, R. Tibshirani
- Mathematics
- 1 April 2004

The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be… Expand

Statistical significance for genomewide studies

- J. Storey, R. Tibshirani
- Medicine, Biology
- Proceedings of the National Academy of Sciences…
- 25 July 2003

With the increase in genomewide experiments and the sequencing of multiple genomes, the analysis of large data sets has become commonplace in biology. It is often the case that thousands of features… Expand

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition

- T. Hastie, R. Tibshirani, J. Friedman
- Computer Science, Mathematics
- Springer Series in Statistics
- 1 March 2005

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and… Expand

Sparse inverse covariance estimation with the graphical lasso.

- J. Friedman, T. Hastie, R. Tibshirani
- Medicine, Mathematics
- Biostatistics
- 1 July 2008

We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a simple algorithm--the… Expand

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

- T. Sørlie, C. Perou, +14 authors A. L. Børresen-Dale
- Biology, Medicine
- Proceedings of the National Academy of Sciences…
- 11 September 2001

The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics to clinical outcome. A… Expand