Maximum-Entropy Priors with Derived Parameters in a Specified Distribution
arXiv:1804.08143 · doi:10.3390/e21030272
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.
7 pages, 2 figures, Published in Entropy