Join GitHub today
GitHub is home to over 31 million developers working together to host and review code, manage projects, and build software together.Sign up
Add the Intrinsic Information #15
So this generalizes in a few obvious ways: each of the different mutual informations.
B(X1:X2:X3... |v Zs) = min B(X1:X2:X3... | Zs_bar) over all Zs_bar such that Xs - Zs - Zs_bar are a markov chain. Ditto for the total correlation and the CAEKL mutual information.
the co-information is not so obvious... do we min over I(...), producing the most negative thing? do we min over abs(I(...)), presumably finding the most independent thing? i would assume the latter, but it isn't completely obvious.
I'll get these coded soon.