A functional nonlinear mixed effects modeling framework for longitudinal functional responses

DOI10.1214/24-EJS2226MaRDI QIDQ6200911

Linglong Kong, Hong-Tu Zhu, Jinhan Xie, Li Xing Zhu, Xinchao Luo

Publication date: 25 March 2024

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

Full work available at URL: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-18/issue-1/A-functional-nonlinear-mixed-effects-modeling-framework-for-longitudinal-functional/10.1214/24-EJS2226.full

zbMATH Keywords

weak convergencefunctional responsesimultaneous confidence bandglobal test statisticlongitudinal responsefunctional random effect

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Discrete-time Markov processes on general state spaces (60J05)

Cites Work

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• Wavelet-based Functional Mixed Models
• Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data
• Asymptotic Statistics
• Mixed Models
• Functional linear mixed models for irregularly or sparsely sampled data
• FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses
• Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression

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