File Exchange

image thumbnail

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

version 1.3 (3.23 KB) by

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

2 Downloads

Updated

View License

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

Comments and Ratings (4)

Guangdi Li

Guangdi Li (view profile)

The function " view(biograph( A ))"
demonstrates the matrix A in the form of nice graph. Indeed, you need that toolbox to visually check the result, instead of checking the produced matrix manually.

Liviu Vladutu

Your example it relies on a script biograph from Computational Biology tbox....

Guangdi Li

Guangdi Li (view profile)

sorry about it , I have updated it.

Sebastien PARIS

IsLeaf function undefined ....

Updates

1.3

update the file "IsLeaf.m", sorry about my carelessness.

1.2

update the graph

MATLAB Release
MATLAB 7.6 (R2008a)

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Win prizes and improve your MATLAB skills

Play today