A comparison of posterior simulation and inference by combining rules for multiple imputation

DOI10.1080/15598608.2011.10412032zbMath1458.62059OpenAlexW2136270732MaRDI QIDQ452512

Yajuan Si, Jerome P. Reiter

Publication date: 15 September 2012

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2011.10412032

zbMATH Keywords

full Bayesian inference

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Missing data (62D10)

Related Items (3)

Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets ⋮ Simultaneous edit-imputation and disclosure limitation for business establishment data ⋮ Are Independent Parameter Draws Necessary for Multiple Imputation?

Cites Work

• The Multiple Adaptations of Multiple Imputation
• Significance tests for multi-component estimands from multiply imputed, synthetic microdata
• Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation
• Multiple Imputation for the Fatal Accident Reporting System
• Miscellanea. Small-sample degrees of freedom with multiple imputation
• Multiple Imputation of Missing Income Data in the National Health Interview Survey

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