M-Estimation for partially functional linear regression model based on splines
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Publication:2832642
DOI10.1080/03610926.2014.921309zbMath1349.62170OpenAlexW2489110445MaRDI QIDQ2832642
Jiang Du, Zhimeng Sun, Jianjun Zhou
Publication date: 11 November 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.921309
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items (3)
Robust estimation with a modified Huber's loss for partial functional linear models based on splines ⋮ Automatic variable selection for partially linear functional additive model and its application to the Tecator data set ⋮ Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions
Cites Work
- Spline estimators for semi-functional linear model
- Functional partially linear quantile regression model
- Prediction in functional linear regression
- \(M\)-estimation of linear models with dependent errors
- Methodology and convergence rates for functional linear regression
- Quantile regression in partially linear varying coefficient models
- Bivariate tensor-product \(B\)-splines in a partly linear model
- Partial functional linear regression
- Focused information criterion and model averaging for generalized additive partial linear models
- Semi-functional partial linear regression
- Asymptotic Normality for the Partially Linear EV Models with Longitudinal Data
- Functional partial linear model
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- Root-n-consistent estimation of partially linear time series models
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Variable Selection for Partially Linear Models With Measurement Errors
- Quantile regression when the covariates are functions
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