On patterns of conditional independences and covariance signs among binary variables

DOI10.1007/s10474-018-0799-6zbMath1413.62078OpenAlexW2790590864MaRDI QIDQ1747977

František Matúš

Publication date: 27 April 2018

Published in: Acta Mathematica Hungarica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10474-018-0799-6

zbMATH Keywords

correlationcovarianceconditional independenceternary relationbinary variableconjunctive forksemigraphoid

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Foundations and philosophical topics in statistics (62A01) Foundations of probability theory (60A99)

Related Items (1)

Contribution of Frantisek Matus to the research on conditional independence

Cites Work

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• Lectures on algebraic statistics
• Gaussian conditional independence relations have no finite complete characterization
• Stochastic independence, algebraic independence and abstract connectedness
• Unifying Markov properties for graphical models
• Smoothness of Gaussian conditional independence models
• Conditional Independences among Four Random Variables III: Final Conclusion
• Foundations of Modern Probability
• Transitivities of Betweenness
• A first course in harmonic analysis

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