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BAT.jl -- A Julia-based tool for Bayesian inference

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arxiv 2008.03132 v1 pith:CF537HWO submitted 2020-08-07 stat.CO astro-ph.IMcs.LGhep-exphysics.data-an

Oliver Schulz , Frederik Beaujean , Allen Caldwell , Cornelius Grunwald , Vasyl Hafych , Kevin Kröninger , Salvatore La Cagnina , Lars Röhrig
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Lolian Shtembari
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classification stat.COastro-ph.IMcs.LGhep-exphysics.data-an
keywords algorithmsbayesianinferenceconsiderationsdemonstratesdescribedesigndevelopment
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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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  1. Phase space sampling with Markov Chain Monte Carlo methods

    hep-ph 2024-12 conditional novelty 5.0 of 10

    MCMC via BAT.jl reproduces Sherpa's Z+3 jets distributions for two observables, but full 13-dimensional phase space validation is missing.

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