Cosmological model selection: Statistics and physics

Eric V. Linder, Ramon Miquel

    Research output: Contribution to journalArticleResearchpeer-review

    14 Citations (Scopus)

    Abstract

    Interpretation of cosmological data to determine the number and values of parameters describing the universe must not rely solely on statistics but involve physical insight. When statistical techniques such as "model selection" or "integrated survey optimization" blindly apply Occam's Razor, this can lead to painful results. Sensitivity to prior probabilities and to the number of models compared can lead to "prior selection" rather than robust model selection. A concrete example demonstrates that information criteria can in fact misinform over a large region of parameter space. © 2008 World Scientific Publishing company.
    Original languageEnglish
    Pages (from-to)2315-2324
    JournalInternational Journal of Modern Physics D
    Volume17
    Issue number12
    DOIs
    Publication statusPublished - 1 Jan 2008

    Keywords

    • Dark energy
    • Model selection

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