Searching for a source of difference in graphical models

DOI10.1016/j.jmva.2022.104973zbMath1493.62363arXiv1811.02503OpenAlexW4213031389MaRDI QIDQ88388

Vera Djordjilovi'C, Monica Chiogna, Monica Chiogna, Vera Djordjilović

Publication date: July 2022

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1811.02503

zbMATH Keywords

decompositiondecomposable graphical modelsGaussian graphical modelstwo sample problemgraphical log-linear modelsstrong meta Markov models

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Probabilistic graphical models (62H22)

Related Items (3)

SourceSet ⋮ Locally associated graphical models and mixed convex exponential families ⋮ A Bartlett-type correction for likelihood ratio tests with application to testing equality of Gaussian graphical models

Uses Software

• R
• gRbase
• limma
• KEGG
• graphite
• GlobalAncova

Cites Work

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• Hyper Markov laws in the statistical analysis of decomposable graphical models
• Uniform consistency in causal inference
• Information and Exponential Families
• Direct estimation of differential networks
• Decomposition of maximum likelihood in mixed graphical interaction models
• On the distribution of quadratic forms in normal random variables
• Graphical models for skew‐normal variates
• Testing differential networks with applications to the detection of gene-gene interactions

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