TY  - JOUR
TI  - Regression Shrinkage and Selection Via the Lasso
AU  - Robert Tibshirani
JO  - Journal of the Royal Statistical Society Series B: Statistical Methodology
PY  - 1996
VL  - 58
IS  - 1
DO  - 10.1111/j.2517-6161.1996.tb02080.x
UR  - https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
ER  -


TY  - JOUR
TI  - Measurement Error in Lasso: Impact and Likelihood Bias Correction
AU  - Øystein Sørensen
AU  - Arnoldo Frigessi
AU  - Magne Thoresen
JO  - Statistica Sinica
PY  - 2015
VL  - 25
IS  - 2
DO  - 10.5705/ss.2013.180
UR  - https://doi.org/10.5705/ss.2013.180
ER  -


TY  - JOUR
TI  - High-dimensional Regression with Noisy and Missing Data: Provable Guarantees with Nonconvexity
AU  - Po-Ling Loh
AU  - Martin J. Wainwright
JO  - The Annals of Statistics
PY  - 2012
VL  - 40
IS  - 3
DO  - 10.1214/12-AOS1018
UR  - https://doi.org/10.1214/12-AOS1018
ER  -


TY  - JOUR
TI  - CoCoLasso for High-dimensional Error-in-variables Regression
AU  - Abhirup Datta
AU  - Hui Zou
JO  - The Annals of Statistics
PY  - 2017
VL  - 45
IS  - 6
DO  - 10.1214/16-AOS1527
UR  - https://doi.org/10.1214/16-AOS1527
ER  -


TY  - JOUR
TI  - Inference in High Dimensional Linear Measurement Error Models
AU  - Mengyan Li
AU  - Runze Li
AU  - Yanyuan Ma
JO  - Journal of Multivariate Analysis
PY  - 2021
VL  - 184
DO  - 10.1016/j.jmva.2021.104759
UR  - https://doi.org/10.1016/j.jmva.2021.104759
ER  -