Improving the INLA approach for approximate Bayesian inference for latent Gaussian models

DOI10.1214/15-EJS1092zbMath1329.62127arXiv1503.07307OpenAlexW3101358481MaRDI QIDQ902211

Egil Ferkingstad, Håvard Rue

Publication date: 7 January 2016

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

Full work available at URL: https://arxiv.org/abs/1503.07307

zbMATH Keywords

copulasgeneralized linear mixed modelsBayesian computationlatent Gaussian modelsintegrated nested Laplace approximation

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations, Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression, Unnamed Item, Joint posterior inference for latent Gaussian models with R-INLA, A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling, Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study, Fast marginal likelihood estimation of penalties for group-adaptive elastic net, A review and comparison of age-period-cohort models for cancer incidence

Uses Software

• INLA
• R-INLA
• JAGS
• iLaplace

Cites Work

• Unnamed Item
• Unnamed Item
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