Bayesian model selection for logistic regression models with random intercept

DOI10.1016/j.csda.2011.06.033zbMath1241.62025OpenAlexW2065308204MaRDI QIDQ433224

Christine Duller, Helga Wagner

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.033

zbMATH Keywords

variable selectionMCMCspike and slab priorsauxiliary mixture samplingnormal scale mixturesvariance selection

Mathematics Subject Classification ID

Related Items (3)

A new minimal training sample scheme for intrinsic Bayes factors in censored data ⋮ Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods ⋮ Sparse Bayesian modelling of underreported count data

Uses Software

• R
• lme4

Cites Work

• Unnamed Item
• Bayesian estimation of random effects models for multivariate responses of mixed data
• A weakly informative default prior distribution for logistic and other regression models
• Nonparametric regression using Bayesian variable selection
• Generalized structured additive regression based on Bayesian P-splines
• Spike and slab variable selection: frequentist and Bayesian strategies
• Inference with normal-gamma prior distributions in regression problems
• On the existence of maximum likelihood estimates in logistic regression models
• Random Effects Selection in Linear Mixed Models
• Bayesian Variable Selection in Linear Regression
• Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
• Parsimonious Covariance Matrix Estimation for Longitudinal Data
• Diagnostic Checks for Discrete Data Regression Models Using Posterior Predictive Simulations

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