Maximum entropy priors with derived parameters in a specified distribution [CL]

http://arxiv.org/abs/1804.08143


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.

Read this paper on arXiv…

W. Handley and M. Millea
Tue, 24 Apr 18
17/87

Comments: 7 pages, 2 figures, Submitted to Bayesian Analysis