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Philosophy Compass, Volume 17, Issue 7, July 2022. No categories |
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AbstractRecently Díaz, Hössjer and Marks presented a Bayesian framework to measure cosmological tuning that uses maximum entropy distributions on unbounded sample spaces as priors for the parameters of the physical models. The DHM framework stands in contrast to previous attempts to measure tuning that rely on a uniform prior assumption. However, since the parameters of the models often take values in spaces of infinite size, the uniformity assumption is unwarranted. This is known as the normalization problem. In this paper we (...) No categories |