论文标题
BAT.JL-贝叶斯推断的基于朱莉娅的工具
BAT.jl -- A Julia-based tool for Bayesian inference
论文作者
论文摘要
我们描述了用朱莉娅语言编写的贝叶斯统计推断的多功能软件的开发。这里总结了主要的设计注意事项和实施的算法，以及一个确保算法正常运行的测试套件。我们还从物理领域中给出了一个扩展的例子，该范围证明了bat.jl的功能。
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.
