Enumerable Distributions, Randomness, Dependence.
Kolmogorov-Martin-Lof randomness concept is extended from computable to enumerable distributions. This allows definitions of various other properties, such as mutual information in infinite sequences. Enumerable distributions (as well as distributions faced in some finite multi-party settings) are semimeasures, not measures; handling those requires some care.
Publisher URL: http://arxiv.org/abs/1208.2955
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