Review: A new method for estimation and use of systematic errors in Poisson regression

Fuente: arXiv
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Autor principal: Bonamente, M.
Formato: Preprint
Publicado: 2026
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author Bonamente, M.
author_facet Bonamente, M.
contents A new method for including systematic errors in the regression with Poisson data is reviewed in this contribution, with emphasis on applications to astronomical spectra. The method consists of generalizing the usual Poisson log-likelihood, known as the Cash statistic $C_{min}$, and its associated likelihood-ratio statistic $ΔC$, to include the presence of systematic sources of uncertainty. Advantages of this new method include its modeling simplicity and its ability to assess both the level of systematics and the goodness of fit at the same time, including for a nested model component.
format Preprint
id arxiv_https___arxiv_org_abs_2604_20632
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Review: A new method for estimation and use of systematic errors in Poisson regression
Bonamente, M.
Instrumentation and Methods for Astrophysics
Methodology
A new method for including systematic errors in the regression with Poisson data is reviewed in this contribution, with emphasis on applications to astronomical spectra. The method consists of generalizing the usual Poisson log-likelihood, known as the Cash statistic $C_{min}$, and its associated likelihood-ratio statistic $ΔC$, to include the presence of systematic sources of uncertainty. Advantages of this new method include its modeling simplicity and its ability to assess both the level of systematics and the goodness of fit at the same time, including for a nested model component.
title Review: A new method for estimation and use of systematic errors in Poisson regression
topic Instrumentation and Methods for Astrophysics
Methodology
url https://arxiv.org/abs/2604.20632