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Code Listing by Guangdi Li

Code 1-6 of 6   






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...



The probabilistic logic sampling algorithm is described in (Henrion 1988). Here is the website:
http://genie.sis.pitt.edu/wiki/Stochastic_Sampling_Algorithms:_Probabilistic_Logic_Sampling

About the theory under PLS, please refer...



Our basic idea is based on (n,k)-gray code which was introduced in one paper named :"Generalized Gray Codes with Applications".

Our extention is allowing each digit ranged from different digit which is widely useful in some...



A simple, fast and short code for beginners, who cares about Fisher's Exact Test, .
As a beginner, at least you need to know what we do with Fisher's Exact Test (see [1][2]). My function is simple,

Pvalue =...



The definition of mutual information could resort to wiki:
http://en.wikipedia.org/wiki/Mutual_information

For marginal mutual information, we say it is :
I(A,B)=sum sum P(A,B) log[P(A,B)/P(A)P(B)]

For conditional...



We use the idea of Chu-Liu/Edmonds Algorithm, see paper [1,2], to implement four functions here.
1. Maximal Directed Maximum Spanning Tree
By DirectedMaximumSpanningTree.m
2. Minimal Directed Maximum Spanning Tree
By...