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Recovering the underlying trajectory from sparse and irregular longitudinal data

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Publication:5094285
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DOI10.1002/cjs.11677zbMath1492.62090arXiv1809.06462OpenAlexW2890998804MaRDI QIDQ5094285

Jiguo Cao, Yuping Yang, Yunlong Nie, Liang-Liang Wang

Publication date: 2 August 2022

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.06462


zbMATH Keywords

functional data analysisfunctional principal component analysisPACEempirical basis functions


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric inference (62G99)


Related Items (3)

Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction ⋮ Hybrid exact-approximate design approach for sparse functional data ⋮ Automatic search intervals for the smoothing parameter in penalized splines




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