Bayesian Methodologies with pyhf
| Autor: | Feickert, Matthew, Heinrich, Lukas, Horstmann, Malin |
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| Rok vydání: | 2023 |
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| Druh dokumentu: | Working Paper |
| Popis: | 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. Comment: 8 pages, 3 figures, 1 listing. Contribution to the Proceedings of the 26th International Conference on Computing In High Energy and Nuclear Physics (CHEP 2023) |
| Databáze: | arXiv |
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