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

D. A. Williams
Phys. Rev. D 38, 3582 – Published 1 December 1988
PDFExport Citation

Abstract

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.

  • Received 2 May 1988

DOI:https://doi.org/10.1103/PhysRevD.38.3582

©1988 American Physical Society

Authors & Affiliations

D. A. Williams

  • Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, California 95064

Comments & Replies

Original Article

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

Harrison Bertrand Prosper
Phys. Rev. D 37, 1153 (1988)

References (Subscription Required)

Click to Expand
Issue

Vol. 38, Iss. 11 — 1 December 1988

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review D

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×