Computable priors sharpened into Occam's razors

Description
Title: Computable priors sharpened into Occam's razors
Authors: Bickel, David R.
Date: 30-Dec-2016
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.
URL: http://davidbickel.com
http://hdl.handle.net/10393/35661
CollectionMathématiques et statistiques // Mathematics and Statistics
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