Performances of Bayesian model selection criteria for generalized linear models with non-ignorably missing covariates

DOI10.1080/00949655.2012.760089zbMath1453.62596OpenAlexW2031936534MaRDI QIDQ5219386

Zeynep Kalaylioglu

Publication date: 11 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.760089

zbMATH Keywords

Bayesian inferenceidentifiabilitypenaltymissing not at randomnon-ignorable missingness model

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Cites Work

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• Akaike's information criterion and recent developments in information complexity
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• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Binary and Polychotomous Response Data
• Model Selection Criteria for Missing-Data Problems Using the EM Algorithm
• Bayesian criterion based model assessment for categorical data
• Identification in Parametric Models
• Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates
• Deviance information criteria for missing data models

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