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On Model Selection in Cosmology
by Martin Kerscher, Jochen Weller
This Submission thread is now published as
Submission summary
| Authors (as registered SciPost users): | Martin Kerscher |
| Submission information | |
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| Preprint 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 | |
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| Academic field: | Physics |
| Specialties: |
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| 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.
Author comments upon resubmission
List of changes
Please see the replies to the referees.
Published as SciPost Phys. Lect. Notes 9 (2019)
Reports on this Submission
Report #2 by Mohamed Rameez (Referee 1) on 2019-6-3 (Invited Report)
Report
I am satisfied with the revisions introduced by the authors. I would now recommend it for publication.
Report #1 by Paul Hunt (Referee 2) 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.