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MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition

Authors :
Makkeh, Abdullah
Chicharro, Daniel
Theis, Dirk Oliver
Vicente, Raul
Source :
Entropy 21 (9), 862, 2019
Publication Year :
2019

Abstract

Chicharro (2017) introduced a procedure to determine multivariate partial information measures within the maximum entropy framework, separating unique, redundant, and synergistic components of information. Makkeh, Theis, and Vicente (2018) formulated the latter trivariate partial information measure as Cone Programming. In this paper, we present MAXENT3D_PID, a production-quality software that computes the trivariate partial information measure based on the Cone Programming model. We describe in detail our software, explain how to use it, and perform some experiments reflecting its accuracy in estimating the trivariate partial information decomposition.

Details

Database :
arXiv
Journal :
Entropy 21 (9), 862, 2019
Publication Type :
Report
Accession number :
edsarx.1901.03352
Document Type :
Working Paper
Full Text :
https://doi.org/10.3390/e21090862