Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

DOI10.1007/s10618-014-0355-0zbMath1403.68206arXiv1310.1187OpenAlexW2158361602MaRDI QIDQ1711229

Johan Pensar, Timo Koski, Henrik Nyman, Jukka Corander

Publication date: 17 January 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.1187

zbMATH Keywords

Markov chain Monte Carlodirected acyclic graphgraphical modelBayesian model learningcontext-specific independence

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Directed graphs (digraphs), tournaments (05C20) Graphical methods in statistics (62A09)

Related Items (6)

Context-specific independence in graphical log-linear models ⋮ The role of local partial independence in learning of Bayesian networks ⋮ Learning discrete decomposable graphical models via constraint optimization ⋮ A logical approach to context-specific independence ⋮ Context-specific independencies in stratified chain regression graphical models ⋮ Context-Specific and Local Independence in Markovian Dependence Structures

Cites Work

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• Split models for contingency tables
• Bayesian learning of graphical vector autoregressions with unequal lag-lengths
• A Bayesian method for the induction of probabilistic networks from data
• A characterization of Markov equivalence classes for acyclic digraphs
• Learning Bayesian networks: The combination of knowledge and statistical data
• Knowledge representation and inference in similarity networks and Bayesian multinets
• Labelled Graphical Models
• Statistical Inference in Context Specific Interaction Models for Contingency Tables
• Bayesian Networks

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