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On Model Selection in Cosmology

by Martin Kerscher, Jochen Weller

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Submission summary

Authors (as Contributors): Martin Kerscher
Submission information
Arxiv Link: https://arxiv.org/abs/1901.07726v2 (pdf)
Date accepted: 2019-06-07
Date submitted: 2019-05-16 02:00
Submitted by: Kerscher, Martin
Submitted to: SciPost Physics Lecture Notes
Ontological classification
Academic field: Physics
Specialties:
  • Statistics Theory
  • Gravitation, Cosmology and Astroparticle Physics
  • Cosmology and Nongalactic Astrophysics
Approach: Theoretical

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.

Published as SciPost Phys. Lect. Notes 9 (2019)



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Reports on this Submission

Report 2 by Mohamed Rameez on 2019-6-3 (Invited Report)

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I am satisfied with the revisions introduced by the authors. I would now recommend it for publication.

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Report 1 by Paul Hunt on 2019-5-27 (Invited Report)

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I am satisfied with the revisions to the paper and believe it to be significantly improved. I am happy to recommend it for publication.

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  • originality: -
  • clarity: -
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