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arXiv · 1804.08143

Maximum-Entropy Priors with Derived Parameters in a Specified Distribution

Will Handley·Marius Millea
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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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Will Handley, Marius Millea. 2019-03-12. Maximum-Entropy Priors with Derived Parameters in a Specified Distribution. https://doi.org/10.3390/e21030272

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