Varying-Coefficient Functional Linear Regression Models

DOI10.1080/03610920802105176zbMath1292.62053OpenAlexW1966604136MaRDI QIDQ5495062

Hervé Cardot, Pascal Sarda

Publication date: 30 July 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802105176

zbMATH Keywords

penalizationill-posed problemB-splinesconditional covariance functionconditional principal components regression

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Factor analysis and principal components; correspondence analysis (62H25) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

Polynomial spline estimation for partial functional linear regression models, Varying coefficient partially functional linear regression models, Varying-coefficient partially functional linear quantile regression models, A functional linear model for time series prediction with exogenous variables, Varying-coefficient functional linear regression, Methodology and theory for partial least squares applied to functional data, Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE)

Cites Work

• Unnamed Item
• Prediction in functional linear regression
• A practical guide to splines
• Simultaneous non-parametric regressions of unbalanced longitudinal data
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Spatially adaptive splines for statistical linear inverse problems
• Applied functional data analysis. Methods and case studies
• Functional linear model
• Consistency of cross-validation when the data are curves
• Generalized functional linear models
• Functional data analysis.
• Estimation in generalized linear models for functional data via penalized likelihood
• Nonparametric functional data analysis. Theory and practice.
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Testing for No Effect in Functional Linear Regression Models, Some Computational Approaches
• Principal component models for sparse functional data
• Nonparametric Regression Analysis of Longitudinal Data
• Linear functional regression: The case of fixed design and functional response
• Conditional Functional Principal Components Analysis
• Functional Data Analysis for Sparse Longitudinal Data