BAT.jl: A Julia-Based Tool for Bayesian Inference

Schulz,; O.,; Beaujean,; F.,; Caldwell,; A.,; et al.,

doi:10.1007/s42979-021-00626-4

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BAT.jl: A Julia-Based Tool for Bayesian Inference

MPS-Authors

Schulz,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

O.,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

Beaujean,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

F.,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

Caldwell,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

A.,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

et al.,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

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Citation

Schulz, O., Beaujean, F., Caldwell, A., et al. (2021). BAT.jl: A Julia-Based Tool for Bayesian Inference. SN Computer Science, 2, 210. doi:10.1007/s42979-021-00626-4.

Cite as: https://hdl.handle.net/21.11116/0000-000A-1AB4-E

Abstract

We describe the development of a multi-purpose software for Bayesian statistical inference, BAT.jl, written in the Julia language. The major design considerations and implemented algorithms are summarized here, together with a test suite that ensures the proper functioning of the algorithms. We also give an extended example from the realm of physics that demonstrates the functionalities of BAT.jl.