Hybrid exact-approximate design approach for sparse functional data

DOI10.1016/j.csda.2023.107850MaRDI QIDQ6071710

Ming-Hung Kao, Ping-Han Huang

Publication date: 28 November 2023

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

zbMATH Keywords

longitudinal datarandom effectsprincipal componentsdesign efficiencymixed model equations

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• From sparse to dense functional data and beyond
• General equivalence theory for optimum designs (approximate theory)
• A joint design for functional data with application to scheduling ultrasound scans
• Bagging-enhanced sampling schedule for functional quadratic regression
• Design optimal sampling plans for functional regression models
• Best Linear Unbiased Estimation and Prediction under a Selection Model
• The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs
• Recovering the underlying trajectory from sparse and irregular longitudinal data
• On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm
• Optimal Designs for Longitudinal and Functional Data
• Functional Data Analysis for Sparse Longitudinal Data

This page was built for publication: Hybrid exact-approximate design approach for sparse functional data