Estimation for semi-functional linear regression

DOI10.1080/02331888.2014.979827zbMath1382.62018OpenAlexW2073614622MaRDI QIDQ3462155

Tang Qingguo

Publication date: 4 January 2016

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2014.979827

zbMATH Keywords

convergence ratefunctional principal component analysisquantile estimatorsemi-functional linear regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (6)

Robust estimation for semi-functional linear regression models ⋮ Profile Estimation for Partial Functional Partially Linear Single-Index Model ⋮ Estimation on semi-functional linear errors-in-variables models ⋮ Estimation and variable selection for partial functional linear regression ⋮ Estimation and testing for partially functional linear errors-in-variables models ⋮ Estimation for functional linear semiparametric model

Uses Software

• R

Cites Work

• Functional linear regression analysis for longitudinal data
• Spline estimators for semi-functional linear model
• On prediction rate in partial functional linear regression
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• Smoothing splines estimators for functional linear regression
• Applied functional data analysis. Methods and case studies
• Functional linear model
• Generalized functional linear models
• On rates of convergence in functional linear regression
• Semi-functional partial linear regression
• Spline Functions
• Functional partial linear model
• Functional Generalized Linear Models with Images as Predictors
• Regression Quantiles
• Local ill-posedness and source conditions of operator equations in Hilbert spaces
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach
• Generalized Functional Linear Models With Semiparametric Single-Index Interactions
• Two‐Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome
• Quantile regression when the covariates are functions
• Robust Statistics

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