Bayesian Inference

cegpy: Modelling with chain event graphs in Python
Chain event graphs (CEGs) are a recent family of probabilistic graphical models that generalise the popular Bayesian networks (BNs) family. In this paper, we present cegpy—the first Python implementation of CEGs and the first across all languages to support structurally asymmetric processes.
Gareth Walley, Aditi Shenvi, Peter Strong, Kasia Kobalczyk
Aug 15, 2023
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cegpy: Modelling with chain event graphs in Python