Bivariate partial information decomposition: The optimization perspective

20Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

Bertschinger, Rauh, Olbrich, Jost, and Ay (Entropy, 2014) have proposed a definition of a decomposition of the mutual information MI(X: Y, Z) into shared, synergistic, and unique information by way of solving a convex optimization problem. In this paper, we discuss the solution of their Convex Program from theoretical and practical points of view.

Cite

CITATION STYLE

APA

Makkeh, A., Theis, D. O., & Vicente, R. (2017). Bivariate partial information decomposition: The optimization perspective. Entropy, 19(10). https://doi.org/10.3390/e19100530

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free