Structural Markov graph laws for Bayesian model uncertainty

DOI10.1214/15-AOS1319zbMath1317.62046arXiv1403.5689MaRDI QIDQ2515492

Yanyan Li

Publication date: 5 August 2015

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1403.5689

zbMATH Keywords

graphical modelsstructural estimationhyper Markov lawsstructural Markov laws

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of graph theory (05C90) Random graphs (graph-theoretic aspects) (05C80) Knowledge representation (68T30)

Related Items

Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs

Uses Software

• Separoids
• HdBCS

Cites Work

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