标题： 贝叶斯技术及其在QCD中的应用 显示英文标题

标题： Bayesian techniques and applications to QCD

摘要： 实现物理实验中产生的大量数据、现象模型和理论模拟之间相互连接的全部潜力，需要强大的统计推断工具。 在这里，我回顾了一个特别有前景的领域，贝叶斯统计，过去十年中，它在高能物理中得到了广泛的应用。 在对贝叶斯统计进行简要介绍之后，我将展示两个具体的例子，其中贝叶斯思维促进了对强相互作用物质的理解：以格点QCD谱函数形式的展开问题（在精神上类似于探测器校正），以及通过实验重离子碰撞数据与现象模型的系统比较，对夸克-胶子等离子体参数的有效估计。 显示英文摘要

摘要： Realizing the full potential of interconnecting the large amounts of data created in physics experiments, phenomenological models and theory simulations requires robust tools for statistical inference. Here I review a particularly promising branch, Bayesian statistics, which over the past decade has found manifold use in high-energy physics. After a brief introduction to Bayesian statistics I will present two concrete examples, where Bayesian thinking has led to progress in understanding strongly interacting matter: unfolding problems in the form of lattice QCD spectral functions (in spirit similar to detector corrections), as well as the efficient estimation of quark-gluon-plasma parameters from a systematic comparison of experimental heavy-ion collision data and phenomenological models.