BAT.jl -- A Julia-based tool for Bayesian inference
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- August 2020
- DOI:
- 10.48550/arXiv.2008.03132
- arXiv:
- arXiv:2008.03132
- Bibcode:
- 2020arXiv200803132S
- Keywords:
-
- Statistics - Computation;
- Astrophysics - Instrumentation and Methods for Astrophysics;
- Computer Science - Machine Learning;
- High Energy Physics - Experiment;
- Physics - Data Analysis;
- Statistics and Probability