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A user-friendly Bayesian inference library

Project description

pipeline status coverage report pypi conda version


A user-friendly Bayesian inference library. Fulfilling all your Bayesian dreams.

Online material to help you get started:

If you need help, find an issue, or just have a question/suggestion you can

We encourage you to contribute to the development of bilby. This is done via a merge request. For help in creating a merge request, see this page or contact us directly. For advice on contributing, see the contributing guide.

Citation guide

If you use bilby in a scientific publication, please cite

The first of these papers introduces the software, while the second introduces advances in the sampling approaches and validation of the software. If you use the bilby_mcmc sampler, please additionally cite

Additionally, bilby builds on a number of open-source packages. If you make use of this functionality in your publications, we recommend you cite them as requested in their associated documentation.


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