Robust regression through the Huber’s criterion and adaptive lasso penalty

JOURNAL ARTICLE published 1 January 2011 in Electronic Journal of Statistics

Authors: Sophie Lambert-Lacroix | Laurent Zwald

Minimum Distance Lasso for robust high-dimensional regression

JOURNAL ARTICLE published 1 January 2016 in Electronic Journal of Statistics

Authors: Aurélie C. Lozano | Nicolai Meinshausen | Eunho Yang

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

COMPONENT published

The Lasso as an ℓ1-ball model selection procedure

JOURNAL ARTICLE published 1 January 2011 in Electronic Journal of Statistics

Authors: Pascal Massart | Caroline Meynet

Caviar Model Selection Via Adaptive Lasso

POSTED CONTENT published

Authors: Zongwu Cai | Ying Fang | Dingshi Tian

False discovery rate control via debiased lasso

JOURNAL ARTICLE published 1 January 2019 in Electronic Journal of Statistics

Authors: Adel Javanmard | Hamid Javadi

Within group variable selection through the Exclusive Lasso

JOURNAL ARTICLE published 1 January 2017 in Electronic Journal of Statistics

Authors: Frederick Campbell | Genevera I. Allen

Abstract 12512: Predictive Factors of Right Heart Catheterization to Diagnose Pulmonary Arterial Hypertension Using Least Absolute Shrinkage Selection Operator (LASSO) Regression

JOURNAL ARTICLE published 7 November 2023 in Circulation

Authors: R J White | Rogier Klok | Julia Harley | Giorgio Castellano | Mark Small | Dario Vizza | Dominik Lautsch

PREDICTIVE MODEL SELECTION CRITERIA FOR BAYESIAN LASSO REGRESSION

JOURNAL ARTICLE published 2015 in Journal of the Japanese Society of Computational Statistics

Authors: Shuichi Kawano | Ibuki Hoshina | Kaito Shimamura | Sadanori Konishi

Improved variable selection with Forward-Lasso adaptive shrinkage

JOURNAL ARTICLE published 1 March 2011 in The Annals of Applied Statistics

Authors: Peter Radchenko | Gareth M. James

Sparse Laplacian Shrinkage with the Graphical Lasso Estimator for Regression Problems

JOURNAL ARTICLE published March 2022 in TEST

Research funded by National Natural Science Foundation of China (11671059,12001557)

Authors: Siwei Xia | Yuehan Yang | Hu Yang

Statistical Learning with Sparsity

BOOK published 7 May 2015

Authors: Trevor Hastie | Robert Tibshirani | Martin Wainwright

Figure 5: Selection of the optimal AS-related events used for construction of the final prediction model by LASSO regression.

COMPONENT published

Sensor Selection for Tidal Volume Determination via Linear Regression—Impact of Lasso versus Ridge Regression

JOURNAL ARTICLE published 25 August 2023 in Sensors

Research funded by German Federal Ministry for Economic Affairs and Climate Action (ZIM-Grant KK5151903BM1) | German Federal Ministry of Education and Research (MOVE, Grant 13FH628IX6) | European Commission (H2020 MSCA Rise (#872488—DCPM))

Authors: Bernhard Laufer | Paul D. Docherty | Rua Murray | Sabine Krueger-Ziolek | Nour Aldeen Jalal | Fabian Hoeflinger | Stefan J. Rupitsch | Leonhard Reindl | Knut Moeller

Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

JOURNAL ARTICLE published 1 April 2000 in The Annals of Statistics

Authors: Jerome Friedman | Trevor Hastie | Robert Tibshirani

Consistent selection via the Lasso for high dimensional approximating regression models

BOOK CHAPTER published 2008 in Institute of Mathematical Statistics Collections

Authors: Florentina Bunea

Variable Selection Method Based on Least Absolute Shrinkage and Selection Operator (LASSO) and kNN for Faults Isolation

PROCEEDINGS ARTICLE published 25 July 2022 in 2022 41st Chinese Control Conference (CCC)

Research funded by National Natural Science Foundation (61873102,61873318)

Authors: Yuanle Liu | Lang Liu | Yanwei Wang | Ying Zheng | Housheng Su

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

LASSO, Iterative Feature Selection and the Correlation Selector: Oracle inequalities and numerical performances

JOURNAL ARTICLE published 1 January 2008 in Electronic Journal of Statistics

Authors: Pierre Alquier

Double fused Lasso regularized regression with both matrix and vector valued predictors

JOURNAL ARTICLE published 1 January 2021 in Electronic Journal of Statistics

Authors: Mei Li | Lingchen Kong | Zhihua Su