Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data

DOI10.1214/10-EJS583zbMath1329.62198MaRDI QIDQ1952097

Iain D. Currie, Viani A. Biatat Djeundje

Publication date: 27 May 2013

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

Full work available at URL: https://projecteuclid.org/euclid.ejs/1289226499

zbMATH Keywords

smoothinglongitudinal data\(B\)-splinesmixed modelspenaltiestruncated lines

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07)

Related Items (7)

Streamlined variational inference for higher level group-specific curve models ⋮ Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis ⋮ Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data ⋮ Penalized regression, mixed effects models and appropriate modelling ⋮ On the estimation of functional random effects ⋮ Systematic deviation in smooth mixed models for multi-level longitudinal data ⋮ On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing

Uses Software

• R
• S-PLUS
• nlme
• SemiPar
• gamair
• MEMSS

Cites Work

• Unnamed Item
• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Estimating the dimension of a model
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data
• Penalized regression, mixed effects models and appropriate modelling
• Simple Incorporation of Interactions into Additive Models
• Generalized Linear Array Models with Applications to Multidimensional Smoothing
• A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
• Semiparametric Regression
• Mixed-Effects Models in S and S-PLUS
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• Recovery of inter-block information when block sizes are unequal
• A practical guide to splines.

This page was built for publication: Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data