Published December 1, 1988 | Version v1
Journal article

Comment on ''Small-signal analysis in high-energy physics: A Bayesian approach''

  • 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