An efficient monotone data augmentation algorithm for Bayesian analysis of incomplete longitudinal data

DOI10.1016/j.spl.2015.05.014zbMath1396.62046OpenAlexW402706430MaRDI QIDQ491718

Yongqiang Tang

Publication date: 19 August 2015

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2015.05.014

zbMATH Keywords

Wishart distributionMCMCmonotone data augmentationmultivariate normal-gamma distribution

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Cites Work

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• Bartlett's decomposition of the posterior distribution of the covariance for normal monotone ignorable missing data
• Missing data imputation using the multivariate \(t\) distribution
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Robust Multivariate Linear Regression With Incomplete Data

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