Package com.bayesserver.statistics

Class Summary

Class	Description
Entropy	Calculates entropy, joint entropy or conditional entropy, which can be used to determine the uncertainty in the states of a discrete distribution.
IntervalStatistics	Calculates statistics such as mean and variance for discretized variables, i.e.
JensenShannon	Methods for computing the Jensen Shannon divergence, which measures the similarity between probability distributions.
KullbackLeibler	Calculate the Kullback–Leibler divergence between 2 distributions with the same variables, D(P||Q).
MutualInformation	Calculates mutual information or conditional mutual information, which measures the dependence between two variables.

Enum Summary

Enum	Description
LogarithmBase	Determines the base of the logarithm to use during calculations such as mutual information.