Maximum-Entropy Priors with Derived Parameters in a Specified Distribution - ANR - Agence nationale de la recherche
Journal Articles Entropy Year : 2019

Maximum-Entropy Priors with Derived Parameters in a Specified Distribution

Will Handley
  • Function : Author
Marius Millea
  • Function : Author
Institut d'Astrophysique de Paris
Institut Lagrange de Paris

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.

Domains

Mathematical Physics [math-ph] Physics [physics] Astrophysics [astro-ph] High Energy Physics - Phenomenology [hep-ph] Instrumentation and Detectors [physics.ins-det]
Fichier principal
Vignette du fichier
entropy-21-00272.pdf (705.05 Ko) Télécharger le fichier
Origin Publisher files allowed on an open archive

Nathalie POTHIER  : Connect in order to contact the contributor

https://hal.science/hal-01796876

Submitted on : Sunday, November 10, 2024-8:36:34 AM

Last modification on : Monday, December 2, 2024-2:48:12 PM

Download

Dates and versions

hal-01796876 , version 1 (10-11-2024)

Licence

Attribution

Identifiers

Cite

Will Handley, Marius Millea. Maximum-Entropy Priors with Derived Parameters in a Specified Distribution. Entropy, 2019, 21 (3), pp.272. ⟨10.3390/e21030272⟩. ⟨hal-01796876⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

INSU CNRS IAP TDS-MACS SORBONNE-UNIVERSITE SU-SCIENCES ANR
85 View
0 Download

Altmetric

Share

More