English

On Model Selection in Cosmology

Cosmology and Nongalactic Astrophysics 2019-07-02 v2

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.

Keywords

Cite

@article{arxiv.1901.07726,
  title  = {On Model Selection in Cosmology},
  author = {Martin Kerscher and Jochen Weller},
  journal= {arXiv preprint arXiv:1901.07726},
  year   = {2019}
}

Comments

expanded version 26 pages, 12 figures

R2 v1 2026-06-23T07:19:23.457Z