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BAT - Bayesian Analysis Toolkit

BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.

Build Status Manual License: LGPL v3 DOI

The Bayesian Analysis Toolkit is a software analysis package which allows to address the main goals of a typical data analysis:

  • compare model predictions with data,
  • draw conclusions on the validity of the model as a representation of the data and
  • extract the possible values of parameters within the context of a model.

The BAT is based on Bayes' Theorem and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution and enables straightforward parameter estimation, limit setting and uncertainty propagation.

The BAT is implemented in C++ on top of CERN's ROOT with emphasis put on flexibility and modularity in defining models while keeping in mind the reliability and speed requirements of the numerical operations.

Authors

See doc/CREDITS file for list of contributors to BAT.

Availability

The latest code and official BAT releases are published online at https://github.com/bat/bat. Older BAT releases are still available from http://mpp.mpg.de/bat/. BAT is open-source software under the LGPLv3 or later. See doc/COPYING and doc/LICENSE for licensing details.

Documentation

For installation instructions, see the INSTALL.md file or the corresponding manual section

manual: html, pdf

reference guide: html

Contact

For additional information and contacting the authors, please consult the BAT web page at http://mpp.mpg.de/bat/. If you want to report an error or file a request, please file an issue at https://github.com/bat/bat/issues.

Contents

Directory bat/:

  • doc/: documentation about BAT
  • examples/: well commented example programs, see examples/README.md
  • BAT/: BAT header files
  • src/: source files of the BAT core library
  • models: models for specific data-analysis problems: fast fitters in base/ and the multi-template fitter in mtf
  • benchmarks: performance test suite with html output
  • test: unit tests
  • tools: template script to generate a BAT project and build utilities

Other files distributed with BAT are part of the configuration and build system.

Bayesian analysis toolkit's Projects

ahmi.jl icon ahmi.jl

The Adaptive Harmonic Mean Algorithm (AHMI)

ahmi_publication icon ahmi_publication

Integration with an Adaptive Harmonic Mean: Series of Jupyter notebooks with examples & tests.

bat icon bat

Bayesian analysis toolkit http://mpp.mpg.de/bat

bat.jl icon bat.jl

A Bayesian Analysis Toolkit in Julia

binnedmodels.jl icon binnedmodels.jl

A Julia package for statistical modeling of binned data, e.g. histograms.

mgvi.jl icon mgvi.jl

Metric Gaussian Variational Inference

ultranest.jl icon ultranest.jl

Julia wrapper for UltraNest: advanced nested sampling for model comparison and parameter estimation

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