Weighted bias-corrected restricted statistical inference for heteroscedastic semiparametric varying-coefficient errors-in-variables model

DOI10.1007/s42952-021-00107-7OpenAlexW3131298992MaRDI QIDQ2132047

Wei-Wei Zhang, Gao Rong Li

Publication date: 27 April 2022

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42952-021-00107-7

zbMATH Keywords

heteroscedasticityLagrange multiplier testasymptotic propertypartially linear varying-coefficient modelervrors-in-variablesweighted bias correction

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimation and inference of semi-varying coefficient models with heteroscedastic errors
• Statistical inference for restricted partially linear varying coefficient errors-in-variables models
• Statistical inference in partially-varying-coefficient single-index model
• Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models
• Local polynomial fitting in semivarying coefficient model
• Statistical inference for heteroscedastic semi-varying coefficient EV models under restricted condition
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Corrected empirical likelihood for a class of generalized linear measurement error 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
• Statistical estimation in varying coefficient models with surrogate data and validation sampling
• Estimation in a semiparametric partially linear errors-in-variables model
• Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part
• Orthogonality-projection-based estimation for semi-varying coefficient models with heteroscedastic errors
• A new orthogonality-based estimation for varying-coefficient partially linear models
• Wavelet estimation in varying-coefficient partially linear regression models
• Efficient estimation of a semiparametric partially linear varying coefficient model
• Efficient penalized estimating method in the partially varying-coefficient single-index model
• Penalized profile least squares-based statistical inference for varying coefficient partially linear errors-in-variables models
• 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
• Statistical inference of partially linear regression models with heteroscedastic errors
• Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
• Partially linear models with missing response variables and error-prone covariates
• A Semi‐parametric Regression Model with Errors in Variables
• Statistical inference for heteroscedastic semi-varying coefficient EV models

This page was built for publication: Weighted bias-corrected restricted statistical inference for heteroscedastic semiparametric varying-coefficient errors-in-variables model