While Bayesian model selection is a useful tool to discriminate between competing cosmological models, it only gives a relative rather than an absolute measure of how good a model is. Bayesian doubt introduces an unknown benchmark model against which the known models are compared, thereby obtaining an absolute measure of model performance in a Bayesian framework. We apply this new methodology to the problem of the dark energy equation of state, comparing an absolute upper bound on the Bayesian evidence for a presently unknown dark energy model against a collection of known models including a flat Lambda cold dark matter (ΛCDM) scenario. We find a strong absolute upper bound to the Bayes factor B between the unknown model and ΛCDM, giving B
CITATION STYLE
March, M. C., Starkman, G. D., Trotta, R., & Vaudrevange, P. M. (2011). Should we doubt the cosmological constant? Monthly Notices of the Royal Astronomical Society, 410(4), 2488–2496. https://doi.org/10.1111/j.1365-2966.2010.17614.x
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