Bayesian Analysis Toolkit: 1.0 and beyond

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Beaujean, Frederik^1 ; Caldwell, Allen^1 ; Greenwald, D.^1 ; Kluth, S.^2 ; Kröninger, Kevin^1,3 ; Schulz, O.^2,4

Ludwig-Maximilians-Universität München, Germany^1

Max-Planck-Institut für Physik, München, Germany^2

Technische Universität München, Germany^3

Technische Universität Dortmund, Germany^4

关键词: Bayesian Analysis;    Markov chain monte carlo samplings;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072003/pdf
DOI  :  10.1088/1742-6596/664/7/072003

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The Bayesian Analysis Toolkit is a C++ package centered around Markov-chain Monte Carlo sampling. It is used in high-energy physics analyses by experimentalists and theorists alike. The software has matured over the last few years. We present new features to enter version 1.0, then summarize some of the software-engineering lessons learned and give an outlook on future versions.