On the foundations of cycles in Bayesian networks

DOI10.1007/978-3-031-22337-2_17zbMath1528.68371arXiv2301.08608MaRDI QIDQ6113984

Christel Baier, Nikolai Käfer, Clemens Dubslaff, Holger Hermanns

Publication date: 10 August 2023

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2301.08608

Mathematics Subject Classification ID

Graph theory (including graph drawing) in computer science (68R10) Reasoning under uncertainty in the context of artificial intelligence (68T37) Semantics in the theory of computing (68Q55) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87) Probabilistic graphical models (62H22)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Modeling probabilistic networks of discrete and continuous variables
• Complex probabilistic modeling with recursive relational Bayesian networks
• Bayesian Networks and Decision Graphs
• Indirect Causes in Dynamic Bayesian Networks Revisited

This page was built for publication: On the foundations of cycles in Bayesian networks