Bayesian Methodologies with pyhf Article Swipe
Related Concepts
Bayesian probability
Computer science
Artificial intelligence
M. Feickert
,
L. Heinrich
,
Malin Elisabeth Horstmann
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/202429506004
· OA: W4396681829
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/202429506004
· OA: W4396681829
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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