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Markov Conditions and Factorization in Logical Credal Networks

arXiv 2302.14146 ↗First posted 27 Feb 2023cs.AIcited by 1

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Abstract (arXiv)

We examine the recently proposed language of Logical Credal Networks, in particular investigating the consequences of various Markov conditions. We introduce the notion of structure for a Logical Credal Network and show that a structure without directed cycles leads to a well-known factorization result. For networks with directed cycles, we analyze the differences between Markov conditions, factorization results, and specification requirements.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 27 Feb 2023.

Builds on

5 of 29 references.

References · 5

  1. 2016Foundations of Structural Causal Models with Cycles and Latent Variablescited by 134
  2. 2013Directed Cyclic Graphical Representations of Feedback Modelscited by 27
  3. 2014Join-Graph Propagation Algorithmscited by 10
  4. 2021Logical Credal Networkscited by 4
  5. 2023On the Foundations of Cycles in Bayesian Networkscited by 2

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