SciPost Submission Page

On Model Selection in Cosmology

by Martin Kerscher, Jochen Weller

Submission summary

As Contributors: Martin Kerscher
Arxiv Link: https://arxiv.org/abs/1901.07726v2
Date accepted: 2019-06-07
Date submitted: 2019-05-16
Submitted by: Kerscher, Martin
Submitted to: SciPost Physics Lecture Notes
Domain(s): Theoretical
Subject area: Cosmology and Nongalactic Astrophysics

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.

Current status:

Ontology / Topics

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Bayesian statistical inference Expansion of the Universe

Author comments upon resubmission

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List of changes

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Reports on this Submission

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

Report

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

Report

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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