Linear mixed models and penalized least squares

DOI10.1016/j.jmva.2004.04.013zbMath1051.62063OpenAlexW2033623507MaRDI QIDQ1882931

Saikat DebRoy, Douglas M. Bates

Publication date: 1 October 2004

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2004.04.013

zbMATH Keywords

EM algorithmHessianMaximum likelihoodREMLECME algorithmProfile likelihoodGradientMultilevel models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (9)

Choice of generalized linear mixed models using predictive crossvalidation ⋮ Unnamed Item ⋮ Quadratic estimators of covariance components in a multivariate mixed linear model ⋮ On the existence of the Gauss-Markov estimators in linear mixed models ⋮ Methods for analyzing multivariate phenotypes in genetic association studies ⋮ An Empirical Study of Statistical Properties of Variance Partition Coefficients for Multi-Level Logistic Regression Models ⋮ The efficacy of league formats in ranking teams ⋮ Simultaneous optimality of LSE and ANOVA estimate in general mixed models ⋮ Sequential Learning of Regression Models by Penalized Estimation

Uses Software

• R

Cites Work

• The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
• Mixed-Effects Models in S and S-PLUS
• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
• Unnamed Item
• Unnamed Item
• Unnamed Item

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