贝叶斯公式“先验概率”和“后验概率”的应用举例  

Application Examples of Bayesian Formulas “Prior Probability” and “Posterior Probability”

作　　者：王世杰 方晓峰 赵俊飞 

机构地区：[1]火箭军工程大学基础部数学教研室,陕西 西安

出　　处：《应用数学进展》2024年第11期4748-4752,共5页Advances in Applied Mathematics

摘　　要：在概率论与数理统计中,贝叶斯公式是一个非常重要的工具,它用于计算关于复杂事件的条件概率。该研究主要分析了贝叶斯公式在军事案件、生活中以及教学质量评估中的应用,并创新性地融入了丰富的课程思政元素。让抽象的概率概念变得生动可感,使学生更好地理解贝叶斯的先验概率和后验概率,极大地激发了学习者的兴趣与好奇心。Bayesian formula is a very important tool in probability theory and mathematical statistics, which is used to calculate the conditional probability of complex events. This study mainly analyzes the application of Bayesian formula in military cases, life and teaching quality evaluation. Let the abstract concept of probability become vivid and sensible, make students better understand Bayesian prior probability and posterior probability, and greatly stimulate learners’ interest and curiosity.

关 键 词：贝叶斯公式 条件概率 先验概率 后验概率 

分 类 号：H31[语言文字—英语]