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A Novel Approach to the Partial Information Decomposition
[article]
2022
arXiv
pre-print
We consider the "partial information decomposition" (PID) problem, which aims to decompose the information that a set of source random variables provide about a target random variable into separate redundant, synergistic, union, and unique components. In the first part of this paper, we propose a general framework for constructing a multivariate PID. Our framework is defined in terms of a formal analogy with intersection and union from set theory, along with an ordering relation which specifies
arXiv:1908.08642v4
fatcat:zidhk37xsnf5rj5md6a2lojfm4