Variable selection and parameter estimation for partially linear models via Dantzig selector
type: Item
instance of: scholarly article
title: Variable selection and parameter estimation for partially linear models via Dantzig selector
zbMATH Open document ID: 1257.62021
author: Feng Li
author: Lu Lin
author: Yuxia Su
published in: Metrika
publication date: 2013-02-21T00:00:00Z
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6138193
zbMATH Keywords: DASSO
describes a project that uses: SemiPar
MaRDI profile type: Publication
full work available at URL: s00184-012-0384-x
OpenAlex ID: W2091153117
cites work: Simultaneous analysis of Lasso and Dantzig selector
cites work: The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
cites work: Convergence rates for parametric components in a partly linear model
cites work: Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
cites work: Least angle regression. (With discussion)
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
cites work: A Statistical View of Some Chemometrics Regression Tools
cites work: Q3761476
cites work: A generalized Dantzig selector with shrinkage tuning
cites work: DASSO: Connections Between the Dantzig Selector and Lasso
cites work: Asymptotics for Lasso-type estimators.
cites work: Estimation in partially linear models and numerical comparisons
cites work: Variable Selection for Partially Linear Models With Measurement Errors
cites work: Automatic model selection for partially linear models
cites work: Convergence rates for partially splined models
cites work: Root-N-Consistent Semiparametric Regression
cites work: An Effective Bandwidth Selector for Local Least Squares Regression
cites work: Semiparametric Regression
cites work: Q3823646
cites work: Q4864293
cites work: Tuning parameter selectors for the smoothly clipped absolute deviation method
cites work: A difference based approach to the semiparametric partial linear model
cites work: SCAD-penalized regression in high-dimensional partially linear models
cites work: An elementary estimator of the partial linear model
cites work: Regularization and Variable Selection Via the Elastic Net
cites work: On the ``degrees of freedom'' of the lasso
cites work: One-step sparse estimates in nonconcave penalized likelihood models
DOI: 10.1007/S00184-012-0384-X
description: scientific article; zbMATH DE number 6138193