How much randomness is needed for statistics?

Annals of Pure and Applied Logic 165 (9):1470-1483 (2014)
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Abstract

In algorithmic randomness, when one wants to define a randomness notion with respect to some non-computable measure λ, a choice needs to be made. One approach is to allow randomness tests to access the measure λ as an oracle. The other approach is the opposite one, where the randomness tests are completely effective and do not have access to the information contained in λ. While the Hippocratic approach is in general much more restrictive, there are cases where the two coincide. The first author showed in 2010 that in the particular case where the notion of randomness considered is Martin-Löf randomness and the measure λ is a Bernoulli measure, classical randomness and Hippocratic randomness coincide. In this paper, we prove that this result no longer holds for other notions of randomness, namely computable randomness and stochasticity.

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Bjørn Kjos-Hanssen
University of Hawaii

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Computability and Randomness.Anthony Morphett - 2010 - Bulletin of Symbolic Logic 16 (1):85-87.

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