Regression Shrinkage and Selection Via the Lasso

JOURNAL ARTICLE published 1 January 1996 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Authors: Robert Tibshirani

Regression Shrinkage and Selection via The Lasso: A Retrospective

JOURNAL ARTICLE published 1 June 2011 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Authors: Robert Tibshirani

Figure 2: Radiomics features are selected via least absolute shrinkage and selection operator (LASSO) logistic regression.

COMPONENT published

Regression coefficient and autoregressive order shrinkage and selection via the lasso

JOURNAL ARTICLE published 1 February 2007 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Authors: Hansheng Wang | Guodong Li | Chih-Ling Tsai

Figure 2: Predictors selection based on the least absolute shrinkage and selection operator (LASSO) regression method.

COMPONENT published

Figure 1: Feature selection using the least absolute shrinkage and selection operator (LASSO) binary logistic regression model.

COMPONENT published

Figure 2: Feature selection using the least absolute shrinkage and selection operator (LASSO) binary logistic regression model.

COMPONENT published

Forward stagewise regression and the monotone lasso

JOURNAL ARTICLE published 1 January 2007 in Electronic Journal of Statistics

Authors: Trevor Hastie | Jonathan Taylor | Robert Tibshirani | Guenther Walther

Figure 2: The least absolute shrinkage and selection operator (LASSO) regression algorithm for radiomics feature selection and radiomics signature construction.

COMPONENT published

THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL

JOURNAL ARTICLE published 28 February 1997 in Statistics in Medicine

Authors: ROBERT TIBSHIRANI

Exact post-selection inference for the generalized lasso path

JOURNAL ARTICLE published 1 January 2018 in Electronic Journal of Statistics

Authors: Sangwon Hyun | Max G’Sell | Ryan J. Tibshirani

JOURNAL ISSUE published January 1996 in Journal of the Royal Statistical Society: Series B (Methodological)

JOURNAL ISSUE published July 1996 in Journal of the Royal Statistical Society: Series B (Methodological)

JOURNAL ISSUE published September 1996 in Journal of the Royal Statistical Society: Series B (Methodological)

Lasso Regression: Estimation and Shrinkage via the Limit of Gibbs Sampling

JOURNAL ARTICLE published 1 January 2016 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Research funded by AFOSR (FA9550-13-1-0043) | DARPA (YFAN66001-111-4131) | National Science Foundation (Grant Nos. DMS-0906392, DMS-CMG 1025465, AGS-1003823, DMS-1106642, DMS-CAREER-1352656)

Authors: Bala Rajaratnam | Steven Roberts | Doug Sparks | Onkar Dalal

JOURNAL ISSUE published November 1996 in Journal of the Royal Statistical Society: Series B (Methodological)

An Ordered Lasso and Sparse Time-Lagged Regression

JOURNAL ARTICLE published 1 October 2016 in Technometrics

Authors: Robert Tibshirani | Xiaotong Suo

A significance test for the lasso

JOURNAL ARTICLE published 1 April 2014 in The Annals of Statistics

Authors: Richard Lockhart | Jonathan Taylor | Ryan J. Tibshirani | Robert Tibshirani

Rejoinder: “A significance test for the lasso”

JOURNAL ARTICLE published 1 April 2014 in The Annals of Statistics

Authors: Richard Lockhart | Jonathan Taylor | Ryan J. Tibshirani | Robert Tibshirani

Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons

JOURNAL ARTICLE published 1 November 2020 in Statistical Science

Authors: Trevor Hastie | Robert Tibshirani | Ryan Tibshirani