Asymptotic properties of Lasso+mLS and Lasso+Ridge in sparse high-dimensional linear regression

JOURNAL ARTICLE published 1 January 2013 in Electronic Journal of Statistics

Authors: Hanzhong Liu | Bin Yu

Nonparametric modal regression

JOURNAL ARTICLE published 1 April 2016 in The Annals of Statistics

Authors: Yen-Chi Chen | Christopher R. Genovese | Ryan J. Tibshirani | Larry Wasserman

Gene set selection via LASSO penalized regression (SLPR)

JOURNAL ARTICLE published 7 July 2017 in Nucleic Acids Research

Authors: H. Robert Frost | Christopher I. Amos

Graphical user interface (GUI) for the least absolute shrinkage and selection operator (LASSO) regression

JOURNAL ARTICLE published 1 July 2019 in IOP Conference Series: Earth and Environmental Science

Authors: G A Dito | A Safitri | F M Afendi | R Anisa | A Salim | B Sartono

Regularization and variable selection with triple shrinkage in linear regression: a generalization of lasso

JOURNAL ARTICLE published 6 February 2023 in Communications in Statistics - Simulation and Computation

Authors: Murat Genç | M. Revan Özkale

Figure 2: Demographic and clinical feature selection using the LASSO binary logistic regression model.

COMPONENT published

Gene Selection from Biological Data via Group Lasso for Logistic Regression Model: Effects of Different Clustering Algorithms

PROCEEDINGS ARTICLE published 26 July 2021 in 2021 40th Chinese Control Conference (CCC)

Authors: Shunjie Chen | Pei Wang

Figure 1: Demographic and clinical feature selection using the LASSO binary logistic regression model.

COMPONENT published

Adaptive piecewise polynomial estimation via trend filtering

JOURNAL ARTICLE published 1 February 2014 in The Annals of Statistics

Authors: Ryan J. Tibshirani

Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso

JOURNAL ARTICLE published July 2007 in Journal of Business & Economic Statistics

Authors: Hansheng Wang | Guodong Li | Guohua Jiang

Continuum Regression is Not Always Continuous

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

Authors: Anders Björkström | Rolf Sundberg

Model selection and shrinkage

BOOK CHAPTER published 2009 in Modern Regression Techniques Using R

Random weighting in LASSO regression

JOURNAL ARTICLE published 1 January 2022 in Electronic Journal of Statistics

Authors: Tun Lee Ng | Michael A. Newton

Variable selection for general index models via sliced inverse regression

JOURNAL ARTICLE published 1 October 2014 in The Annals of Statistics

Authors: Bo Jiang | Jun S. Liu

Minimax regret analysis of orthogonal series regression estimation: selection versus shrinkage

JOURNAL ARTICLE published 1 September 1998 in Biometrika

Authors: B Droge

Least Absolute Shrinkage and Selection Operator (LASSO) untuk Mengatasi Multikolinearitas pada Model Regresi Linear Berganda

JOURNAL ARTICLE published 28 July 2022 in Bandung Conference Series: Statistics

Authors: Annisa Juwita Mahalani | Nur Azizah Komara Rifai

Figure 1: Regression analysis of influence factors based on Lasso for variable selection (A), and cross validation of the regression model (B).

COMPONENT published

Regression shrinkage and selection variables via an adaptive elastic net model

JOURNAL ARTICLE published 1 May 2021 in Journal of Physics: Conference Series

Authors: Ghadeer Jasim Mohammed Mahdi | Nadia Jasim Mohammed | Zahraa Ibrahim Al-Sharea

Testing Goodness-of-Fit in Regression Via Order Selection Criteria

JOURNAL ARTICLE published 1 September 1992 in The Annals of Statistics

Authors: R. L. Eubank | Jeffrey D. Hart

Adaptive estimation in autoregression or -mixing regression via model selection

JOURNAL ARTICLE published 1 June 2001 in The Annals of Statistics

Authors: Y Baraud | F. Comte | G. Viennet