Factorization of posteriors and partial imputation algorithm for graphical models with missing data.
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Publication:1423109
DOI10.1016/S0167-7152(03)00181-0zbMath1116.62301MaRDI QIDQ1423109
Publication date: 14 February 2004
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
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Cites Work
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- Graphical models for associations between variables, some of which are qualitative and some quantitative
- Tools for statistical inference. Observed data and data augmentation methods
- Hyper Markov laws in the statistical analysis of decomposable graphical models
- Mixed Graphical Models with Missing Data and the Partial Imputation EM Algorithm
- The Calculation of Posterior Distributions by Data Augmentation
- Bayesian Methods for Censored Categorical Data
- Decomposition of maximum likelihood in mixed graphical interaction models
- Miscellanea. Maximum likelihood estimation in graphical models with missing values
- The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
- An algebra of bayesian belief universes for knowledge‐based systems
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