Causal Polytree ---Pearl's classical algorithm(1988) 1.0

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. 222d-deOCt228

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Controlcenterm,  Question,  Rebane,  Response,  Simple,  Start,  Understanding
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