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→In terms of pdf's for continuous distributions 关于连续分布的概率密度函数
For (absolutely) continuous random variables <math>X</math>, <math>Y</math>, and <math>Z</math> with [[Support (mathematics)|support sets]] <math>\mathcal{X}</math>, <math>\mathcal{Y}</math> and <math>\mathcal{Z}</math>, the conditional mutual information <math>I(X;Y|Z)</math> is as follows
For (absolutely) continuous random variables <math>X</math>, <math>Y</math>, and <math>Z</math> with [[Support (mathematics)|support sets]] <math>\mathcal{X}</math>, <math>\mathcal{Y}</math> and <math>\mathcal{Z}</math>, the conditional mutual information <math>I(X;Y|Z)</math> is as follows
对于具有支持集<math>X</math>, <math>Y</math>, 和 <math>Z</math>的（绝对）连续随机变量<math>\mathcal{X}</math>, <math>\mathcal{Y}</math> 和 <math>\mathcal{Z}</math>，条件交互信息<math>I(X;Y|Z)</math>如下
对于具有支持集<math>X</math>, <math>Y</math>, 和 <math>Z</math>的（绝对）连续随机变量<math>\mathcal{X}</math>, <math>\mathcal{Y}</math> 和 <math>\mathcal{Z}</math>，条件交互信息<math>I(X;Y|Z)</math>如下: