Iterative Scaling Algorithm for Channels

Paolo Perrone; Nihat Ay

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arXiv · 1603.07181

Iterative Scaling Algorithm for Channels

Paolo Perrone·Nihat Ay

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Abstract

Here we define a procedure for evaluating KL-projections (I- and rI-projections) of channels. These can be useful in the decomposition of mutual information between input and outputs, e.g. to quantify synergies and interactions of different orders, as well as information integration and other related measures of complexity. The algorithm is a generalization of the standard iterative scaling algorithm, which we here extend from probability distributions to channels (also known as transition kernels).

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Paolo Perrone, Nihat Ay. 2016-03-23. Iterative Scaling Algorithm for Channels. https://arxiv.org/abs/1603.07181

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