Abstract
AbstractWe 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.
Funder
Deutsche Forschungsgemeinschaft
Horizon 2020 Framework Programme
Studienstiftung des Deutschen Volkes
Max Planck Institute for Physics
Publisher
Springer Science and Business Media LLC
Cited by
17 articles.
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