4.6 Article

Bivariate Partial Information Decomposition: The Optimization Perspective

期刊

ENTROPY
卷 19, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/e19100530

关键词

partial information decomposition; bivariate information decomposition; applications of convex optimization

资金

  1. Estonian Research Council, ETAG (Eesti Teadusagentuur) [620]
  2. European Regional Development Fund through the Estonian Center of Excellence in Computer Science, EXCS

向作者/读者索取更多资源

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.

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