Maximum-Entropy Priors with Derived Parameters in a Specified Distribution.
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Millea, Marius
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.
Description
Keywords
Bayesian inference, derived distribution, maximum entropy, neutrino hierarchy, prior
Journal Title
Entropy (Basel)
Conference Name
Journal ISSN
1099-4300
1099-4300
1099-4300
Volume Title
21
Publisher
MDPI AG
