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CoCoLasso for High-dimensional Error-in-variables Regression

CoCoLasso for High-dimensional Error-in-variables Regression

24 October 2015
A. Datta
H. Zou
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Papers citing "CoCoLasso for High-dimensional Error-in-variables Regression"

7 / 7 papers shown
Title
Errors-in-variables Fréchet Regression with Low-rank Covariate
  Approximation
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Kyunghee Han
Dogyoon Song
19
0
0
16 May 2023
High-dimensional regression with potential prior information on variable
  importance
High-dimensional regression with potential prior information on variable importance
B. Stokell
Rajen Dinesh Shah
28
0
0
23 Sep 2021
A unified precision matrix estimation framework via sparse column-wise
  inverse operator under weak sparsity
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
Zeyu Wu
Cheng-Long Wang
Weidong Liu
28
3
0
07 Jul 2021
A Survey of Tuning Parameter Selection for High-dimensional Regression
A Survey of Tuning Parameter Selection for High-dimensional Regression
Y. Wu
Lan Wang
39
35
0
10 Aug 2019
Sharp oracle inequalities for stationary points of nonconvex penalized
  M-estimators
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators
A. Elsener
Sara van de Geer
22
10
0
27 Feb 2018
MEBoost: Variable Selection in the Presence of Measurement Error
MEBoost: Variable Selection in the Presence of Measurement Error
Ben Brown
Timothy Weaver
J. Wolfson
11
18
0
09 Jan 2017
Discussion: The Dantzig selector: Statistical estimation when $p$ is
  much larger than $n$
Discussion: The Dantzig selector: Statistical estimation when ppp is much larger than nnn
B. Efron
Trevor Hastie
Robert Tibshirani
152
90
0
21 Mar 2008
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