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On Model Selection in Cosmology

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arxiv 1901.07726 v2 pith:OQ2VHYPK submitted 2019-01-23 astro-ph.CO

classification astro-ph.CO
keywords modelselectionapproachesbayesiandifferentinformationtheoreticapproach
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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.

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Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 22 citations worldwide. Full citation record

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  4. Search for Annual Modulation in Combined ANAIS 112 and COSINE 100 Data using Bayesian Model Comparison

    hep-ex 2025-12 conditional novelty 4.0 of 10

    Bayesian model comparison of combined ANAIS-112/COSINE-100 residuals finds no meaningful support for an annual cosine modulation (ln Bayes factor < 1.2).

  5. Constraints on Dark Energy Models Using Late Universe Probes

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    Using late-universe probes only, the authors find all dark energy models remain within 1-2 sigma of Lambda CDM, which wins the Bayesian model comparison, and confirm that DESI's LRG1 and LRG2 points drive the dynamica...

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