Concurrent Functional Linear Regression Via Plug-in Empirical Likelihood.

Authors

Hsin-Wen Chang, Ian W McKeague

Published in

Sankhya. Series A. (2008). Volume 88. Issue 2. Pages 345-371. Epub Sep 02, 2024.

Abstract

Functional data with non-smooth features (e.g., discontinuities in the functional mean and/or covariance) and monotonicity arise frequently in practice. This paper develops simultaneous inference for concurrent functional linear regression in this setting. We construct a simultaneous confidence band for a functional covariate effect of interest. Along with a Wald-type formulation, our approach is based on a powerful nonparametric likelihood ratio method. Our procedures are flexible enough to allow discontinuities in the coefficient functions and the covariance structure, while accounting for discretization of the observed trajectories under a fixed dense design. A simulation study shows that the proposed likelihood ratio-based procedure outperforms the Wald-type procedure in moderate sample sizes. We apply the proposed methods to studying the effect of age on the occupation time curve derived from wearable device data obtained in an NHANES study.

PMID:
42800961
Bibliographic data and abstract were imported from PubMed on 27 Sep 2026.

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