Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
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Publication:979240
DOI10.1016/j.jmva.2010.03.005zbMath1190.62090OpenAlexW1978926447MaRDI QIDQ979240
Publication date: 25 June 2010
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2010.03.005
shrinkage estimationvariable selectionmeasurement errorssemiparametric varying coefficient partially linear model
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- Local polynomial fitting in semivarying coefficient model
- Variable selection for semiparametric varying coefficient partially linear models
- Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
- Empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models
- A simple approach for varying-coefficient model selection
- A note on adaptive group Lasso
- Quantile regression in partially linear varying coefficient models
- Optimal rates of convergence for nonparametric estimators
- On parameter estimation for semi-linear errors-in-variables models
- Estimation in a semiparametric partially linear errors-in-variables model
- Empirical likelihood confidence region for parameter in the errors-in-variables models.
- Least angle regression. (With discussion)
- Variable selection in semiparametric regression modeling
- Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
- Empirical likelihood for semiparametric varying-coefficient partially linear regression models
- Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data
- Corrected local polynomial estimation in varying-coefficient models with measurement errors
- Varying Coefficients Model with Measurement Error
- M-estimation and B-spline approximation for varying coefficient models with longitudinal data
- Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Shrinkage Estimation of the Varying Coefficient Model
- Variable Selection for Partially Linear Models With Measurement Errors
- Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Model Selection and Estimation in Regression with Grouped Variables
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
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