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BAT.jl -- A Julia-based tool for Bayesian inference
Oliver Schulz, Frederik Beaujean, Allen Caldwell, Cornelius Grun · 2020-08-07 · via cs.LG updates on arXiv.org

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.

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