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.
Cited by 3
Marco Raveri et al., Quantifying concordance of correlated cosmological data sets
Phys. Rev. D 101, 103527 (2020) [Crossref]
W. J. C. da Silva et al., Bayesian comparison of the cosmic duality scenarios
Phys. Rev. D 102, 063513 (2020) [Crossref]
Haveesh Singirikonda et al., Model comparison of $$\Lambda $$CDM vs $$R_h=ct$$ using cosmic chronometers
Eur. Phys. J. C 80, 694 (2020) [Crossref]
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- 1 Martin Kerscher,
- 1 2 3 Jochen Weller