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Bayesian analysis of multisource data

Authors
  • Bhat, Pushpalatha C.
  • Prosper, Harrison B.
  • Snyder, Scott S.
Publication Date
Feb 01, 1997
Identifiers
DOI: 10.1016/S0370-2693(97)00723-5
OAI: oai:inspirehep.net:441459
Source
INSPIRE-HEP
Keywords
License
Unknown
External links

Abstract

We present a simple method, based on Bayes' theorem, to fit binned data to one or more multi-source models. Assuming a Poisson probability for the count in each bin we can eliminate exactly the nuisance parameters from the likelihood function and arrive at a formula that can be broadly applied. We illustrate the method by showing how it can be used to estimate the top quark mass.

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