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

TL;DR

BAT.jl is a versatile Julia package designed for Bayesian inference, offering various algorithms and tested through examples, including a physics application, to facilitate statistical analysis.

Contribution

This paper introduces BAT.jl, a comprehensive Julia-based software that integrates multiple Bayesian inference algorithms with a robust test suite and practical physics examples.

Findings

Successfully implements multiple Bayesian algorithms

Provides a tested, reliable software package

Demonstrates applicability with physics example

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.