A sequential reduction method for inference in generalized linear mixed models

DOI10.1214/15-EJS991zbMath1307.62057arXiv1312.1903OpenAlexW2963266389MaRDI QIDQ2259531

Helen E. Ogden

Publication date: 4 March 2015

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

Full work available at URL: https://arxiv.org/abs/1312.1903

zbMATH Keywords

Laplace approximationintractable likelihoodgraphical modelpairwise comparisonsparse grid interpolation

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (4)

Improving the INLA approach for approximate Bayesian inference for latent Gaussian models ⋮ Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models ⋮ Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation ⋮ A sequential reduction method for inference in generalized linear mixed models

Uses Software

• R
• BradleyTerry2
• ComputeTW

Cites Work

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• Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
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• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Accurate Approximations for Posterior Moments and Marginal Densities
• Approximate Inference in Generalized Linear Mixed Models
• Bias reduction of maximum likelihood estimates
• Graphical models

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