Effective identification and estimation for the semiparametric measurement error model
DOI10.1016/j.jkss.2016.05.005zbMath1359.62129OpenAlexW2470015319MaRDI QIDQ508097
Publication date: 9 February 2017
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2016.05.005
spline approximationfinite differencemeasurement errorvariable selectionoracle propertySCAD penaltysmoothly clipped absolute deviationbias-corrected procedurenonparametric component
Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Point estimation (62F10)
Cites Work
- A semiparametric multivariate partially linear model: a difference approach
- Generalized profile LSE in varying-coefficient partially linear models with measurement errors
- Statistical inference for restricted partially linear varying coefficient errors-in-variables models
- Semiparametric trending panel data models with cross-sectional dependence
- Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models
- Adaptive LASSO for varying-coefficient partially linear measurement error models
- Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Profile-kernel likelihood inference with diverging number of parameters
- Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
- Quantile regression in partially linear varying coefficient models
- A practical guide to splines
- An elementary estimator of the partial linear model
- Estimation in a semiparametric partially linear errors-in-variables model
- Wavelet estimation in varying-coefficient partially linear regression models
- Efficient estimation of a semiparametric partially linear varying coefficient model
- Model averaging for varying-coefficient partially linear measurement error models
- A difference based approach to the semiparametric partial linear model
- Empirical likelihood based inference for semiparametric varying coefficient partially linear models with error-prone linear covariates
- Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition
- New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
- Bias-corrected statistical inference for partially linear varying coefficient errors-in-variables models with restricted condition
- Efficient estimation for partially linear varying coefficient models when coefficient functions have different smoothing variables
- Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
- Empirical Likelihood for Semiparametric Varying-Coefficient Heteroscedastic Partially Linear Errors-in-Variables Models
- Asymptotically optimal difference-based estimation of variance in nonparametric regression
- Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data
- Empirical Likelihood Confidence Region for the Parameter in a Partially Linear Errors-in-Variables Model
- Detecting Dependencies in Smooth Regression Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Semiparametric Regression for the Applied Econometrician
- Instrumental variable-based empirical likelihood inferences for varying-coefficient models with error-prone covariates
- Variable Selection for Partially Linear Models With Measurement Errors
- Robust estimation and variable selection for semiparametric partially linear varying coefficient model based on modal regression
- Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
- Tuning parameter selectors for the smoothly clipped absolute deviation method
This page was built for publication: Effective identification and estimation for the semiparametric measurement error model
