Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random

DOI10.1198/016214504000000368zbMath1117.62308OpenAlexW2051423983MaRDI QIDQ5754744

Ming-Hui Chen, Qui-Man Shao, Joseph G. Ibrahim

Publication date: 20 August 2007

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214504000000368

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Posterior propriety for Bayesian binomial regression models with a parametric family of link functions, Maximum likelihood inference for the Cox regression model with applications to missing covariates, Missing data methods in longitudinal studies: a review, Rejoinder to the comments on: Missing data methods in longitudinal studies: a review, Statistical inference under imputation for proportional hazard model with missing covariates, Theory and inference for regression models with missing responses and covariates, Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates, Posterior propriety for hierarchical models with log-likelihoods that have norm bounds, A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator, Generalized linear mixed models with informative dropouts and missing covariates

Uses Software

• Maple
• SAS