scientific article; zbMATH DE number 5244587
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Publication:5446611
zbMath1144.60302MaRDI QIDQ5446611
František Matúš, Radim Lněnička
Publication date: 6 March 2008
Full work available at URL: http://www.kybernetika.cz/content/2007/3/327
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
multivariate Gaussian distributioncovariance selection modelsgaussoidsMarkov perfectnessseparation graphoids
Probability distributions: general theory (60E05) Determinants, permanents, traces, other special matrix functions (15A15)
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Cites Work
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- Conditional independence for statistical operations
- Conditional independence structures examined via minors
- Towards classification of semigraphoids.
- Graphical models for genetic analyses
- Separation and completeness properties for AMP chain graph Markov models.
- Marginalization and collapsibility in graphical interaction models
- On equivalence of Markov properties over undirected graphs
- Conditional Independences among Four Random Variables III: Final Conclusion
- STRUCTURAL SEMIGRAPHOIDS1
- Conditional Independences among Four Random Variables I
- Conditional Independences among Four Random Variables II
- Conditionals, Information, and Inference
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