Test for the parametric part in partial functional linear regression based on B-spline

DOI10.1080/03610918.2019.1667391zbMath1489.62134OpenAlexW2973624515WikidataQ127252649 ScholiaQ127252649MaRDI QIDQ5083955

Yue Zhang, Mingao Yuan

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1667391

zbMATH Keywords

hypothesis testB-splinepartial functional linear regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Robust estimation for partial functional linear regression models based on FPCA and weighted composite quantile regression

Uses Software

• fda (R)

Cites Work

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• Functional data analysis
• Quantile regression for functional partially linear model in ultra-high dimensions
• Partial functional linear regression
• Classical testing in functional linear models
• Testing Hypotheses in the Functional Linear Model
• Minimax and Adaptive Prediction for Functional Linear Regression
• Hypothesis testing in functional linear models
• Two‐Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome
• A practical guide to splines.

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