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arXiv · 2309.17005

Bayesian Methodologies with pyhf

Matthew Feickert·Lukas Heinrich·Malin Horstmann
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Abstract

bayesian_pyhf is a Python package that allows for the parallel Bayesian and frequentist evaluation of multi-channel binned statistical models. The Python library pyhf is used to build such models according to the HistFactory framework and already includes many frequentist inference methodologies. The pyhf-built models are then used as data-generating model for Bayesian inference and evaluated with the Python library PyMC. Based on Monte Carlo Chain Methods, PyMC allows for Bayesian modelling and together with the arviz library offers a wide range of Bayesian analysis tools.

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Matthew Feickert, Lukas Heinrich, Malin Horstmann. 2023-09-29. Bayesian Methodologies with pyhf. https://arxiv.org/abs/2309.17005

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