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Spey: smooth inference for reinterpretation studies

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arxiv 2307.06996 v3 pith:3CUXYVFO submitted 2023-07-13 hep-ph hep-exphysics.data-anstat.ME

Spey: smooth inference for reinterpretation studies

classification hep-ph hep-exphysics.data-anstat.ME
keywords likelihooddifferenthypothesisprescriptionsstudiespackageplatformprescription
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Statistical models serve as the cornerstone for hypothesis testing in empirical studies. This paper introduces a new cross-platform Python-based package designed to utilise different likelihood prescriptions via a flexible plug-in system. This framework empowers users to propose, examine, and publish new likelihood prescriptions without developing software infrastructure, ultimately unifying and generalising different ways of constructing likelihoods and employing them for hypothesis testing within a unified platform. We propose a new simplified likelihood prescription, surpassing previous approximation accuracies by incorporating asymmetric uncertainties. Moreover, our package facilitates the integration of various likelihood combination routines, thereby broadening the scope of independent studies through a meta-analysis. By remaining agnostic to the source of the likelihood prescription and the signal hypothesis generator, our platform allows for the seamless implementation of packages with different likelihood prescriptions, fostering compatibility and interoperability.

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Forward citations

Cited by 7 Pith papers

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