DESCRIPTION OF STRUCTURES OF STOCHASTIC CONDITIONAL INDEPENDENCE BY MEANS OF FACES AND IMSETS 1st part: introduction and basic concepts1
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Publication:4861641
DOI10.1080/03081079508908035zbMath0834.60005OpenAlexW2126288242MaRDI QIDQ4861641
Publication date: 13 February 1996
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079508908035
Knowledge representation (68T30) Foundations of probability theory (60A99) Statistical aspects of information-theoretic topics (62B10)
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Cites Work
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- Invariance properties of the conditional independence relation
- Stochastic independence, causal independence, and shieldability
- Markov fields and log-linear interaction models for contingency tables
- Influence diagrams for statistical modelling
- Logical and algorithmic properties of conditional independence and graphical models
- Logical and algorithmic properties of independence and their application to Bayesian networks
- Graphical and Recursive Models for Contingency Tables
- THE REPRESENTATION POWER OF PROBABILISTIC KNOWLEDGE BY UNDIRECTED GRAPHS AND DIRECTED ACYCLIC GRAPHS: A COMPARISON
- The Method of Path Coefficients
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