Penalized regression, mixed effects models and appropriate modelling

DOI10.1214/13-EJS809zbMath1327.62256OpenAlexW2029605311MaRDI QIDQ1954140

Richard A. Lockhart, Nancy E. Heckman, Jason D. Nielsen

Publication date: 20 June 2013

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

Full work available at URL: https://projecteuclid.org/euclid.ejs/1369836229

zbMATH Keywords

P-splinessandwich estimatorpenalized smoothinglinear mixed effects models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear inference, regression (62J99)

Related Items

Model-based curve registration via stochastic approximation EM algorithm ⋮ Streamlined variational inference for higher level group-specific curve models ⋮ A graphical model selection tool for mixed models ⋮ Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data ⋮ Penalized regression, mixed effects models and appropriate modelling ⋮ A penalized h-likelihood variable selection algorithm for generalized linear regression models with random effects ⋮ Systematic deviation in smooth mixed models for multi-level longitudinal data ⋮ Smooth expectiles for panel data using penalized splines ⋮ On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing

Uses Software

• fda (R)
• SemiPar
• WOMBAT
• ASReml

Cites Work

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