![A joint PDF module for discrete random variables](http://uva.computationalscience.nl/wp-content/uploads/2015/11/susceptibility_local_random_synergistic_nv3_x3_s2.png)
JointPDF
This python module implements the notion of a “joint probability distribution” among discrete stochastic variables, as well as many common operations for them. Secondly, it implements many information-theoretical quantities such as Shannon entropy, mutual information, information synergy, information-based optimization procedures, and robustness tests.