Markov conditions and factorization in logical credal networks

DOI10.1016/j.ijar.2024.109237zbMATH Open1547.68721MaRDI QIDQ6596686

Alexander Gray, Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Ryan Riegel, Fabio G. Cozman

Publication date: 2 September 2024

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

factorizationcausal reasoningMarkov conditionprobabilistic logiclogical credal networks

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37) Markov processes (60J99) Probabilistic graphical models (62H22)

Cites Work

• Markov properties of nonrecursive causal models
• Credal networks
• Probabilistic logics with independence and confirmation
• Foundations of structural causal models with cycles and latent variables
• Thirty years of credal networks: specification, algorithms and complexity
• Inference in credal networks: Branch-and-bound methods and the A/R+ algorithm
• Skip sequencing: A decision problem in questionnaire design
• 10.1162/153244301753344614
• Join-Graph Propagation Algorithms
• Causal diagrams for empirical research
• Probabilistic Networks and Expert Systems
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Introduction to Imprecise Probabilities
• On the foundations of cycles in Bayesian networks
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Related Items (1)

Special issue: thirteenth international symposium on imprecise probabilities: theories and applications (ISIPTA'2023)

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