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Maximum-Entropy Priors with Derived Parameters in a Specified Distribution
Will Handley1,2,3, Marius Millea4,5
1Astrophysics Group, Cavendish Laboratory, J.J.Thomson Avenue, Cambridge CB3 0HE, UK.
Abstract:
We propose a method for transforming probability distributions so that parameters of interest are forced into a specified distribution. We prove that this approach is the maximum-entropy choice, and provide a motivating example, applicable to neutrino-hierarchy inference.
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