Functional linear mixed models for irregularly or sparsely sampled data

DOI10.1177/1471082X15617594OpenAlexW2219754008MaRDI QIDQ4971448

Sonja Greven, Marianne Pouplier, Jona Cederbaum, Phil Hoole

Publication date: 12 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1508.01686

zbMATH Keywords

penalized splinesfunctional principal component analysisspeech productiondependent functional datafunctional additive mixed models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Fast symmetric additive covariance smoothing ⋮ A functional nonlinear mixed effects modeling framework for longitudinal functional responses ⋮ A general framework for functional regression modelling ⋮ Comparison and contrast of two general functional regression modelling frameworks ⋮ Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures ⋮ Fast covariance estimation for sparse functional data ⋮ Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data ⋮ Comments on: ``Inference and computation with generalized additive models and their extensions

Uses Software

• R
• fda (R)
• SemiPar
• refund
• gamair
• GitHub

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multilevel functional principal component analysis
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Longitudinal functional principal component analysis
• Functional data analysis.
• Functional Mixed Effects Models
• A Penalized Spline Approach to Functional Mixed Effects Model Analysis
• Fast methods for spatially correlated multilevel functional data
• Wavelet-based Functional Mixed Models
• Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles
• Structured functional principal component analysis
• Semiparametric Regression
• Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis
• Principal component models for sparse functional data
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Functional data analysis in longitudinal settings using smoothing splines
• Corrected Confidence Bands for Functional Data Using Principal Components
• The functional linear array model
• Recovery of inter-block information when block sizes are unequal
• Functional Data Analysis for Sparse Longitudinal Data