贝叶斯推断 [Bayesian Inference]

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定义: 一种基于贝叶斯定理的统计推断方法，它利用概率的数学语言来表达认识论上的（不）确定性。贝叶斯推断是在各种可能性之间分配（并根据最新观察到的数据或证据重新分配）可信度。现有的两种贝叶斯推断方法包括“贝叶斯因子” 和贝叶斯参数估计。

相关术语: Bayes Factor, Bayesian statistics, Bayesian Parameter Estimation

参考文献:

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  • Kruschke, J. K. (2015). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan (2nd ed.). Academic Press.
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原稿作者: Charlotte R. Pennington

审阅者: Alaa AlDoh, Bradley Baker, Robert Ross, Markus Weinmann, Tobias Wingen, Steven Verheyen

翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)

译稿审阅者: Cathy Fang, Liangjie Chen, Ruoting Liu, Shuxian Jin