I(X;Y;Z)三方交互信息(或,三元互信息)
当有三个随机变量时他们之间各种熵和互信息之间关系如下图所示,可以看到中间那部分就是I(X;Y;Z)I(X;Y;Z)I(X;Y;Z)
I(X;Y;Z)=I(X;Y)−I(X;Y∣Z)I(X;Y;Z)=I(X;Z)−I(X;Z∣Y)I(X;Y;Z)=I(Y;Z)−I(Y;Z∣X)I(X;Y;Z)=H(X,Y,Z)−H(X)−H(Y)−H(Z)+I(X,Y)+I(Y,Z)+I(X,Z)
I(X;Y;Z) = I(X;Y)-I(X;Y|Z)\\
I(X;Y;Z) = I(X;Z)-I(X;Z|Y)\\
I(X;Y;Z) = I(Y;Z)-I(Y;Z|X)\\
I(X;Y;Z) = H(X,Y,Z)-H(X)-H(Y)-H(Z)+I(X,Y)+I(Y,Z)+I(X,Z)
I(X;Y;Z)=I(X;Y)−I(X;Y∣Z)I(X;Y;Z)=I(X;Z)−I(X;Z∣Y)I(X;Y;Z)=I(Y;Z)−I(Y;Z∣X)I(X;Y;Z)=H(X,Y,Z)−H(X)−H(Y)−H(Z)+I(X,Y)+I(Y,Z)+I(X,Z)
I(X,Y;Z)联合互信息
I(X,Y;Z)=I(X;Z)+I(Y;Z∣X)=I(Y;Z)+I(X;Z∣Y)I(X,Y ; Z) = I(X; Z) + I(Y ; Z|X)\\
\qquad \qquad\quad=I (Y ; Z)+I (X; Z |Y)I(X,Y;Z)=I(X;Z)+I(Y;Z∣X)=I(Y;Z)+I(X;Z∣Y)
这个互信息是将X,YX,YX,Y看做一个整体,然后求和ZZZ之间的互信息
链式法则:
参考文献
- Jakulin A. Machine learning based on attribute interactions[D]. Univerza v Ljubljani, 2005.