BAT.jl: A Julia-Based Tool for Bayesian Inference-Reference-Cited by-同舟云学术

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

Published:2021-04-12 Issue:3 Volume:2 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Schulz Oliver^ORCID,Beaujean Frederik^ORCID,Caldwell Allen^ORCID,Grunwald Cornelius^ORCID,Hafych Vasyl^ORCID,Kröninger Kevin^ORCID,Cagnina Salvatore La,Röhrig Lars,Shtembari Lolian^ORCID

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

Link

https://link.springer.com/content/pdf/10.1007/s42979-021-00626-4.pdf

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