Design optimal sampling plans for functional regression models

DOI10.1016/j.csda.2020.106925OpenAlexW3004717822MaRDI QIDQ2178158

Hyungmin Rha, Ming-Hung Kao, Rong Pan

Publication date: 7 May 2020

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2020.106925

zbMATH Keywords

longitudinal datafunctional data analysisfunctional linear modelfunctional principal components

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Hybrid exact-approximate design approach for sparse functional data ⋮ Bagging-enhanced sampling schedule for functional quadratic regression

Uses Software

• fdapace

Cites Work

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• A Comparison of Algorithms for Constructing Exact D-Optimal Designs
• Principal component models for sparse functional data
• Principal Modes of Variation for Processes with Continuous Sample Curves
• Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
• Optimal Designs for Longitudinal and Functional Data
• Functional Data Analysis for Sparse Longitudinal Data

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