broja-2pid: a robust estimator for bivariate partial information decomposition

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ID: 257318
2018
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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.
Reference Key
makkeh2018entropybroja-2pid: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Abdullah Makkeh;Dirk Oliver Theis;Raul Vicente
Journal European journal of medicinal chemistry
Year 2018
DOI
10.3390/e20040271
URL
http://www.mdpi.com/1099-4300/20/4/271
Keywords Keywords not found

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