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On universal prediction and Bayesian confirmation

Hutter, Marcus


The Bayesian framework is a well-studied and successful framework for inductive reasoning, which includes hypothesis testing and confirmation, parameter estimation, sequence prediction, classification, and regression. But standard statistical guidelines for choosing the model class and prior are not always available or can fail, in particular in complex situations. Solomonoff completed the Bayesian framework by providing a rigorous, unique, formal, and universal choice for the model class and...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: Theoretical Computer Science
DOI: 10.1016/j.tcs.2007.05.016


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