DESCRIPTION OF STRUCTURES OF STOCHASTIC CONDITIONAL INDEPENDENCE BY MEANS OF FACES AND IMSETS 3rd part: examples of use and appendices1

DOI10.1080/03081079508908046zbMath0834.60007OpenAlexW2134422139MaRDI QIDQ4861653

Milan Studený

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/10.1080/03081079508908046

zbMATH Keywords

conditional independenceBayesian networkportraitMarkov networkfacial implication

Mathematics Subject Classification ID

Knowledge representation (68T30) Foundations of probability theory (60A99) Statistical aspects of information-theoretic topics (62B10) Markov processes (60J99)

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FIRST EXIT TIMES OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY MULTIPLICATIVE LÉVY NOISE WITH HEAVY TAILS ⋮ Generalized rules of probabilistic independence

Cites Work

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• Stochastic independence, causal independence, and shieldability
• Influence diagrams for statistical modelling
• Logical and algorithmic properties of independence and their application to Bayesian networks
• PROBABILISTIC CONDITIONAL INDEPENDENCE STRUCTURES AND MATROID THEORY: BACKGROUND¹
• STRUCTURAL SEMIGRAPHOIDS¹
• Independence properties of directed markov fields
• An ordered examination of influence diagrams

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