3 Pages Posted: 14 Oct 2010 Last revised: 28 Dec 2015
Date Written: October 12, 2010
Using the metadistribution of possible distributions for a given measure, we define a condition under which it is possible to make a decision based on the observation of random variable, which we call "statistical decidability". We provide a sufficient condition on the metadistribution for the decision to be "statistically decidable" and conjecture that decisions based on a metadistribution with non compact support are always "statistically undecidable". There is the need for a strong undefeasable a priori without which decisions are not statistically justified - an effect that is very significant for decisions affected by small probabilities.
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