Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs

DOI10.1214/13-AOS1125zbMath1360.62369arXiv1303.0632OpenAlexW2038769064MaRDI QIDQ385762

Jinzhu Jia, Bin Yu, Yang-Bo He

Publication date: 11 December 2013

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

Full work available at URL: https://arxiv.org/abs/1303.0632

zbMATH Keywords

causal inferencereversible Markov chainMarkov equivalence classsparse graphical model

Mathematics Subject Classification ID

Multivariate analysis (62H99) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Random walks on graphs (05C81)

Related Items

Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach ⋮ Exact estimation of multiple directed acyclic graphs ⋮ Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs ⋮ Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures ⋮ Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes ⋮ Equivalence class selection of categorical graphical models ⋮ Structural Markov graph laws for Bayesian model uncertainty ⋮ Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways

Uses Software

• pcalg
• TETRAD

Cites Work

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