Generalized multilevel function‐on‐scalar regression and principal component analysis

DOI10.1111/biom.12278zbMath1390.62259OpenAlexW1945752929WikidataQ35778718 ScholiaQ35778718MaRDI QIDQ3459930

Jeff Goldsmith, Vadim Zipunnikov, Jennifer A. Schrack

Publication date: 11 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4479975

zbMATH Keywords

accelerometryBayesian inferencepenalized splinesHamiltonian Monte Carlogeneralized functional data

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)

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Uses Software

• SemiPar
• refund
• Stan
• NUTS

Cites Work

• Variational Bayesian functional PCA
• Multilevel functional principal component analysis
• NUTS
• Functional data analysis.
• Functional Mixed Effects Models
• Wavelet-based Functional Mixed Models
• Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
• Probabilistic Principal Component Analysis
• Semiparametric Regression
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Corrected Confidence Bands for Functional Data Using Principal Components
• Multilevel Cross‐Dependent Binary Longitudinal Data
• Functional Data Analysis for Sparse Longitudinal Data
• A Bayesian latent variable approach to functional principal components analysis with binary and count data

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