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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

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

Rejoinder: 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 J. Tibshirani

[Monotone Regression Splines in Action]: Comment

JOURNAL ARTICLE published 1 November 1988 in Statistical Science

Authors: Trevor Hastie | Robert Tibshirani

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

[Neural Networks: A Review from Statistical Perspective]: Comment

JOURNAL ARTICLE published 1 February 1994 in Statistical Science

Authors: Robert Tibshirani

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

Generalized Additive Models

JOURNAL ARTICLE published 1 August 1986 in Statistical Science

Authors: Trevor Hastie | Robert Tibshirani

Variable Selection Using Bayesian Additive Regression Trees

JOURNAL ARTICLE published 1 May 2024 in Statistical Science

Authors: Chuji Luo | Michael J. Daniels

[Generalized Additive Models]: Rejoinder

JOURNAL ARTICLE published 1 August 1986 in Statistical Science

Authors: Trevor Hastie | Robert Tibshirani

Logistic regression and other discrete data models for serially correlated observations

JOURNAL ARTICLE published June 1994 in Journal of the Italian Statistical Society

Authors: A. Azzalini

Exact Post-Selection Inference for Sequential Regression Procedures

JOURNAL ARTICLE published 2 April 2016 in Journal of the American Statistical Association

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

Sparsity and Smoothness Via the Fused Lasso

JOURNAL ARTICLE published 1 February 2005 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Research funded by National Science Foundation (DMS-9971405,CCR-0306662) | National Institutes of Health (N01-HV-28183) | Office of Naval Research (N00014-02-1-0076)

Authors: Robert Tibshirani | Michael Saunders | Saharon Rosset | Ji Zhu | Keith Knight

Regularization Paths for Conditional Logistic Regression: TheclogitL1Package

JOURNAL ARTICLE published 2014 in Journal of Statistical Software

Authors: Stephen Reid | Rob Tibshirani

Bayesian backfitting (with comments and a rejoinder by the authors

JOURNAL ARTICLE published 1 August 2000 in Statistical Science

Authors: Trevor Hastie | Robert Tibshirani

From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction

JOURNAL ARTICLE published 1 February 2012 in Statistical Science

Authors: Edward I. George | Feng Liang | Xinyi Xu

Comment: Statistical Inference from a Predictive Perspective

JOURNAL ARTICLE published 1 November 2019 in Statistical Science

Authors: Alessandro Rinaldo | Ryan J. Tibshirani | Larry Wasserman

Small Area Shrinkage Estimation

JOURNAL ARTICLE published 1 February 2012 in Statistical Science

Authors: G. Datta | M. Ghosh

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

JOURNAL ARTICLE published 1 February 1986 in Statistical Science

Authors: B. Efron | R. Tibshirani