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On Model Selection in Cosmology
by Martin Kerscher, Jochen Weller
This Submission thread is now published as
|Authors (as Contributors):||Martin Kerscher|
|Arxiv Link:||https://arxiv.org/abs/1901.07726v2 (pdf)|
|Date submitted:||2019-05-16 02:00|
|Submitted by:||Kerscher, Martin|
|Submitted to:||SciPost Physics Lecture Notes|
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.
Published as SciPost Phys. Lect. Notes 9 (2019)
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Report 2 by Mohamed Rameez on 2019-6-3 (Invited Report)
I am satisfied with the revisions introduced by the authors. I would now recommend it for publication.