Estimation and inference in semi-functional partially linear measurement error models
DOI10.1007/s11424-019-8045-zzbMath1457.62398OpenAlexW2998014075MaRDI QIDQ2219871
Hanbing Zhu, Gen Zhu, Ri-quan Zhang
Publication date: 21 January 2021
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-019-8045-z
hypothesis testmeasurement error modelscorrected profile least-squaressemi-functional partial linear regression
Asymptotic properties of parametric estimators (62F12) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Applications of statistics in engineering and industry; control charts (62P30)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error
- Variable selection in linear measurement error models via penalized score functions
- Automatic estimation procedure in partial linear model with functional data
- Robust estimators in semi-functional partial linear regression models
- Generalized partially linear mixed-effects models incorporating mismeasured covariates
- On the optimal rates of convergence for nonparametric deconvolution problems
- Improved estimation in multiple linear regression models with measurement error and general constraint
- Nonparametric regression with errors in variables
- On parameter estimation for semi-linear errors-in-variables models
- The functional nonparametric model and applications to spectrometric data
- Estimation in a semiparametric partially linear errors-in-variables model
- Estimation in linear models with random effects and errors-in-variables
- Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part
- Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density
- SIMEX estimation for single-index model with covariate measurement error
- Strong convergence of robust equivariant nonparametric functional regression estimators
- Functional data analysis.
- Semi-functional partial linear regression
- Nonparametric functional data analysis. Theory and practice.
- Nonparametric regression for functional data: automatic smoothing parameter selection
- Functional partial linear model
- Variable selection in partial linear regression with functional covariate
- Covariate measurement error in generalized linear models
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Estimation of Errors-in-Variables Partially Linear Additive Models
- Average derivative estimation with errors-in-variables
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
- A Semi‐parametric Regression Model with Errors in Variables
- Nonparametric regression in the presence of measurement error
- Linear and Conic Programming Estimators in High Dimensional Errors-in-variables Models
This page was built for publication: Estimation and inference in semi-functional partially linear measurement error models
