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Bayesian credible interval construction for Poisson statistics

Bayesian credible interval construction for Poisson statistics
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摘要 The construction of the Bayesian credible (confidence) interval for a Poisson observable including both the signal and background with and without systematic uncertainties is presented. Introducing the conditional probability satisfying the requirement of the background not larger than the observed events to construct the Bayesian credible interval is also discussed. A Fortran routine, BPOCI, has been developed to implement the calculation. The construction of the Bayesian credible (confidence) interval for a Poisson observable including both the signal and background with and without systematic uncertainties is presented. Introducing the conditional probability satisfying the requirement of the background not larger than the observed events to construct the Bayesian credible interval is also discussed. A Fortran routine, BPOCI, has been developed to implement the calculation.
作者 朱永生
出处 《Chinese Physics C》 SCIE CAS CSCD 北大核心 2008年第5期363-369,共7页 中国物理C(英文版)
基金 NSFC(19991483,10491303)
关键词 Bayesian credible interval systematic uncertainties Poisson distribution Bayesian credible interval, systematic uncertainties, Poisson distribution
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参考文献10

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