Partially Linear Functional Additive Models for Multivariate Functional Data

DOI10.1080/01621459.2017.1411268zbMath1478.62125OpenAlexW2783438409MaRDI QIDQ5229922

Yehua Li, Zhengyuan Zhu, Raymond K. W. Wong

Publication date: 19 August 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1128&context=stat_las_pubs

zbMATH Keywords

principal component analysissplinemeasurement errorreproducing kernel Hilbert spacefunctional dataadditive model

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Related Items (20)

Low-Rank Covariance Function Estimation for Multidimensional Functional Data ⋮ Sparse Functional Principal Component Analysis in High Dimensions ⋮ Two-sample tests for multivariate functional data with applications ⋮ Estimation in functional single-index varying coefficient model ⋮ Predictive functional linear models with diverging number of semiparametric single-index interactions ⋮ Model selection for functional linear regression with hierarchical structure ⋮ Fast Multilevel Functional Principal Component Analysis ⋮ Partially functional linear regression in reproducing kernel Hilbert spaces ⋮ Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors ⋮ Factor models for high‐dimensional functional time series I: Representation results ⋮ Lasso in Infinite dimension: application to variable selection in functional multivariate linear regression ⋮ A Reproducing Kernel Hilbert Space Framework for Functional Classification ⋮ Tests for equality of several covariance matrix functions for multivariate functional data ⋮ Estimation of Sparse Functional Additive Models with Adaptive Group LASSO ⋮ Inference for Generalized partial functional linear regression ⋮ FUNCTIONAL ADDITIVE QUANTILE REGRESSION ⋮ Functional principal component analysis estimator for non-Gaussian data ⋮ From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas ⋮ Estimation for partial functional partially linear additive model ⋮ Nonparametric and high-dimensional functional graphical models

Uses Software

• fda (R)

Cites Work

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