Causal Polytree ---Pearl's classical algorithm(1988)

Pearl's famous causal polytree recover algorithm is implemented here.

As a famous sub-structure of Bayesian network, causal polytree is able to recover the causality very efficiently.

Here, I implement pearl's classical algorithm here for easy using. Details can be seen in Pearl's paper[1].

To recover general Causal polytree, one can download "Fisher's exact test" in my space for conditional independence test.

One can start from ControlCenter.m, I add a simple example there for better understanding.

If there is any question, just let me know, I will response to you as soon as possible.

[1] G. Rebane, J. Pearl, The recovery of causal poly-trees from statistical data, in: Proceedings of the Third Conference on Uncertainty Artificial Intelligence, Seattle, Washington, 1987, pp. 222–228