cegpy: Modelling with chain event graphs in Python

Author:

Walley Gareth,Shenvi AditiORCID,Strong Peter,Kobalczyk KatarzynaORCID

Funder

Engineering and Physical Sciences Research Council

Medical Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

1. Causality;Pearl,2009

2. N.L. Zhang, D. Poole, On the Role of Context-Specific Independence in Probabilistic Inference, in: Proc. of the 16th Intern. Jt. Conf. on Artif. Intell., Vol. 2, 1999, pp. 1288–1293.

3. C. Boutilier, N. Friedman, M. Goldszmidt, D. Koller, Context-Specific Independence in Bayesian Networks, in: Proc. of the 12th Intern. Conf. on Uncertain. in Artif. Intell., 1996, pp. 115–123.

4. Modelling with non-stratified chain event graphs;Shenvi,2018

5. Conditional independence and chain event graphs;Smith;Artif. Intell.,2008

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