Inference for Generalized partial functional linear regression

DOI10.5705/ss.202018.0155zbMath1455.62138OpenAlexW2954219277MaRDI QIDQ5134481

Zhong-yi Zhu, Ting Li

Publication date: 16 November 2020

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202018.0155

zbMATH Keywords

Bahadur representationhypothesis testingreproducing kernel Hilbert spacepenalized likelihood ratio test

Mathematics Subject Classification ID

Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Reliability and life testing (62N05)

Related Items

Asynchronous Functional Linear Regression Models for Longitudinal Data in Reproducing Kernel Hilbert Space, Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization, Testing linear operator constraints in functional response regression with incomplete response functions, Statistical inference for function-on-function linear regression, A new RKHS-based global testing for functional linear model

Uses Software

• fda (R)
• gss

Cites Work

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