Mutual conditional independence and its applications to model selection in Markov networks

DOI10.1007/s10472-020-09690-7zbMath1472.62088OpenAlexW3045311902MaRDI QIDQ2023881

Niharika Gauraha, Swapan Kumar Parui

Publication date: 3 May 2021

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-020-09690-7

zbMATH Keywords

graphical modelsMarkov networksforward model selectiongraphical log-linear modelsmutual conditional independence

Mathematics Subject Classification ID

Contingency tables (62H17) Markov processes: hypothesis testing (62M02) Probabilistic graphical models (62H22)

Cites Work

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• Logical and algorithmic properties of conditional independence and graphical models
• On conditional independence and log-convexity
• Decomposition and Model Selection for Large Contingency Tables
• On equivalence of Markov properties over undirected graphs
• Model Search among Multiplicative Models
• Graphical models

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