Literature DB >> 33265362

BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition.

Abdullah Makkeh1, Dirk Oliver Theis1, Raul Vicente1.   

Abstract

Makkeh, Theis, and Vicente found that Cone Programming model is the most robust to compute the Bertschinger et al. partial information decomposition (BROJA PID) measure. We developed a production-quality robust software that computes the BROJA PID measure based on the Cone Programming model. In this paper, we prove the important property of strong duality for the Cone Program and prove an equivalence between the Cone Program and the original Convex problem. Then, we describe in detail our software, explain how to use it, and perform some experiments comparing it to other estimators. Finally, we show that the software can be extended to compute some quantities of a trivaraite PID measure.

Entities:  

Keywords:  Cone Programming; bivariate information decomposition

Year:  2018        PMID: 33265362      PMCID: PMC7512785          DOI: 10.3390/e20040271

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


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