Bivariate Partial Information Decomposition: The Optimization Perspective
Bertschinger, Rauh, Olbrich, Jost, and Ay (Entropy, 2014) have proposed a definition of a decomposition of the mutual information M I ( 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 thei...
Main Authors: | Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-10-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/19/10/530 |
Similar Items
-
BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition
by: Abdullah Makkeh, et al.
Published: (2018-04-01) -
MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition
by: Abdullah Makkeh, et al.
Published: (2019-09-01) -
A Novel Approach to the Partial Information Decomposition
by: Artemy Kolchinsky
Published: (2022-03-01) -
The Partial Information Decomposition of Generative Neural Network Models
by: Tycho M.S. Tax, et al.
Published: (2017-09-01) -
Analyzing Information Distribution in Complex Systems
by: Sten Sootla, et al.
Published: (2017-11-01)