Computable priors sharpened into Occam's razors
David R. Bickel · uO Research (University of Ottawa) · 2016
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.