Computable priors sharpened into Occam's razors

Abstract : The posterior probabilities available under standard Bayesian statistics are computable, apply to small samples, and coherently incorporate previous information. Modifying their priors according to results from algorithmic information theory adds the advantage of implementing Occam's razor, giving simpler distributions of data higher prior probabilities.
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Contributor : David R. Bickel <>
Submitted on : Monday, January 23, 2017 - 8:43:20 PM
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  • HAL Id : hal-01423673, version 2

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David R. Bickel. Computable priors sharpened into Occam's razors. 2016. ⟨hal-01423673v2⟩

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