On the optimal reconstruction of partially observed functional data

DOI10.1214/19-AOS1864zbMath1452.62990arXiv1710.10099MaRDI QIDQ2196241

Alois Kneip, Dominik Liebl

Publication date: 28 August 2020

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.10099

zbMATH Keywords

functional data analysisfunctional principal componentsincomplete functions

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10) Nonparametric estimation (62G05)

Related Items

Mean and Covariance Estimation for Functional Snippets, Functional linear model with partially observed covariate and missing values in the response, Robust Inference for Partially Observed Functional Response Data, Depth-based reconstruction method for incomplete functional data, Testing linear operator constraints in functional response regression with incomplete response functions, Ridge reconstruction of partially observed functional data is asymptotically optimal, On functional logistic regression: some conceptual issues, Integrated Depths for Partially Observed Functional Data, Localization processes for functional data analysis, The completion of covariance kernels

Uses Software

• fda (R)

Cites Work

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