pyhf (conda): 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.
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