Published December 1, 1988
| Version v1
Journal article
Comment on ''Small-signal analysis in high-energy physics: A Bayesian approach''
Creators
- 1. Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, California 95064
Description
Prosper's recent paper postulates that, in the absence of any prior information, the distribution of prior probabilities for an experiment should have the same symmetries as the conditional probabilities for the experiment. From this assumption, he derives a unique form for the prior probability distribution in the case of an experiment to measure a small signal above a background. His derivation does not adequately take into account the arbitrary nature of the normalization of the prior probability distribution. Allowing for changes in the normalization, the form of the prior probability distribution is no longer uniquely determined
Additional details
Publishing Information
- Journal Title
- Physical Review, D
- Journal Volume
- 38
- Journal Issue
- 11
- Series
- Phys. Rev., D.
- Journal Page Range
- 3582-3583
- ISSN
- 0556-2821
- CODEN
- PRVDA
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 20019804
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DATA PROCESSING; DISTRIBUTION FUNCTIONS; HIGH ENERGY PHYSICS; PROBABILITY; SIGNALS; SYMMETRY
- Descriptors DEC
- PHYSICS