Contribution of Frantisek Matus to the research on conditional independence
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Publication:5858538
DOI10.14736/kyb-2020-5-0850zbMath1474.62173OpenAlexW3111543646MaRDI QIDQ5858538
Publication date: 13 April 2021
Published in: Kybernetika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.14736/kyb-2020-5-0850
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Biographies, obituaries, personalia, bibliographies (01A70) Knowledge representation (68T30) History of statistics (62-03) Combinatorial aspects of matroids and geometric lattices (05B35)
Uses Software
Cites Work
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- Abstract functional dependency structures
- Stochastic independence, causal independence, and shieldability
- Axioms and algorithms for inferences involving probabilistic independence
- A unique formal system for binary decompositions of database relations, probability distributions, and graphs
- Logical and algorithmic properties of conditional independence and graphical models
- Stochastic independence, algebraic independence and abstract connectedness
- Extreme convex set functions with many nonnegative differences
- Semigraphoids and structures of probabilistic conditional independence
- Conditional independence structures examined via minors
- Towards classification of semigraphoids.
- Lengths of semigraphoid inferences
- On patterns of conditional independences and covariance signs among binary variables
- On Reichenbach's causal betweenness
- On conditional independence and log-convexity
- Separoids: a mathematical framework for conditional independence and irrelevance
- Submodular functions and optimization.
- On equivalence of Markov properties over undirected graphs
- Semimodular Functions and Combinatorial Geometries
- Conditional Independences among Four Random Variables III: Final Conclusion
- PROBABILISTIC CONDITIONAL INDEPENDENCE STRUCTURES AND MATROID THEORY: BACKGROUND1
- STRUCTURAL SEMIGRAPHOIDS1
- Lectures on Polytopes
- A non-Shannon-type conditional inequality of information quantities
- On the Abstract Properties of Linear Dependence
- Conditional Independences among Four Random Variables I
- Conditional Independences among Four Random Variables II
- Conditionals, Information, and Inference
- Conditions for representability and transversality of matroids
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