Pseudo-Gibbs sampler for discrete conditional distributions

DOI10.1007/s10463-017-0625-xzbMath1415.62001OpenAlexW2767056976MaRDI QIDQ1733115

Yuchung J. Wang, Kun-Lin Kuo

Publication date: 21 March 2019

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-017-0625-x

zbMATH Keywords

stationary distributionmultiple imputationincompatibilitypseudo-Gibbs samplerKullback-Leibler information divergenceiterative conditional replacementscan order

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) Sampling theory, sample surveys (62D05)

Related Items (1)

Analytical computation of pseudo-Gibbs distributions for dependency networks

Cites Work

• Gibbs ensembles for nearly compatible and incompatible conditional models
• I-divergence geometry of probability distributions and minimization problems
• A simple algorithm for checking compatibility among discrete conditional distributions
• 10.1162/153244301753344614
• Fully conditional specification in multivariate imputation
• Generalized Iterative Scaling for Log-Linear Models

This page was built for publication: Pseudo-Gibbs sampler for discrete conditional distributions