Full conditional distributions for Bayesian multilevel models with additive or interactive effects and missing data on covariates

DOI10.1080/03610918.2021.1921799OpenAlexW3162706068MaRDI QIDQ6049861

Roy Levy, Unnamed Author

Publication date: 18 September 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1921799

zbMATH Keywords

missing datamultiple imputationGibbs samplingBayesianmultilevel modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Bayesian methods for generalized linear models with covariates missing at random
• Sampling-Based Approaches to Calculating Marginal Densities
• Analysis of multivariate probit models
• Multiple Imputation and its Application
• Multilevel models with multivariate mixed response types
• Behaviour of the Gibbs sampler when conditional distributions are potentially incompatible
• On the stationary distribution of iterative imputations
• Monte Carlo sampling methods using Markov chains and their applications
• Bayesian Analysis for the Social Sciences

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