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conda-forge.org : pyhf
The HistFactory p.d.f. template [CERN-OPEN-2012-016] is per-se independent of its implementation in ROOT and sometimes, it's useful to be able to run statistical analysis outside of ROOT, RooFit, RooStats framework. This repo is a pure-python implementation of that statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of "Asymptotic formulae for likelihood-based tests of new physics" [arXiv:1007.1727]. The aim is also to support modern computational graph libraries such as PyTorch and TensorFlow in order to make use of features such as autodifferentiation and GPU acceleration.
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purl: pkg:conda/pyhf
Keywords: asymptotic-formulas, closember, cls, frequentist-statistics, hep, hep-ex, high-energy-physics, histfactory, jax, numpy, python, pytorch, scientific-computations, scikit-hep, scipy, statistical-inference, statistics, tensorflow
License: Apache-2.0
Latest release: over 1 year ago
First release: almost 4 years ago
Dependent packages: 1
Dependent repositories: 3
Stars: 242 on GitHub
Forks: 71 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 26 days ago