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Python package for Bayesian Model Mixing

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Taweret

Welcome to the GitHub repo for Taweret, the state of the art Python package for applying Bayesian Model Mixing!

About

Taweret is a new generalized package to help with applying Bayesian model mixing methods, developed by members of the BAND collaboration, to a wide variety of problems in physics.

Features

At present, this package possesses the following BMM methods:

  • Linear model mixing ( With simultaneous model mixing and calibration)
  • Multivariate BMM
  • Bayesian Trees

Documentation

See Taweret's docs webpage here.

Citing BAND software

If you have benefited from Taweret, please cite the BAND collaboration software suite using the format here.

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Python package for Bayesian Model Mixing

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