On model selection in cosmology

Martin Kerscher, Jochen Weller

SciPost Phys. Lect. Notes 9 (2019) · published 19 June 2019

Abstract

We review some of the common methods for model selection: the goodness of fit, the likelihood ratio test, Bayesian model selection using Bayes factors, and the classical as well as the Bayesian information theoretic approaches. We illustrate these different approaches by comparing models for the expansion history of the Universe. In the discussion we highlight the premises and objectives entering these different approaches to model selection and finally recommend the information theoretic approach.


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Bayesian statistical inference Expansion of the Universe

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