CSlearn

A CStree on four binary random variables.

This is a Python package for CStree models [1] [2] a family of graphical causal models that encode context-specific dependence for multivariate multinomial distributions.

Paper experiments and precomputed results (~5.9 GB) are available on Zenodo. See the experiment README for reproduction instructions.

References

[1]

Eliana Duarte and Liam Solus. Representation of context-specific causal models with observational and interventional data. 2021. arXiv:2101.09271.

[2]

Felix L. Rios, Alex Markham, and Liam Solus. Scalable structure learning for sparse context-specific causal systems. 2024. arXiv:2402.07762.