首页统计学
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贝叶斯统计

Bayesian statistics
课程网址: https://www.open.edu/openlearn/science-maths-technology/bayesian-...  
主讲教师: 信息不详。欢迎您在右侧留言补充。
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2017-12-19
课程语种: 英语
中文简介:
这门免费课程介绍贝叶斯统计。第1节讨论了几种估计概率的方法。第2节回顾了条件概率的概念,并介绍了贝叶斯定理及其在观察数据或获得信息时更新命题信念的应用。第3节介绍了贝叶斯推理过程的主要思想。先验分布总结了在观测到数据之前对参数值的信念。似然函数总结了观测数据中包含的参数信息,后验分布表示观测到数据后对参数的已知情况。
课程简介: This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ theorem and its use in updating beliefs about a proposition, when data are observed, or information becomes available. Section 3 introduces the main ideas of the Bayesian inference process. The prior distribution summarises beliefs about the value of a parameter before data are observed. The likelihood function summarises information about a parameter contained in observed data and the posterior distribution represents what is known about a parameter after the data have been observed.
关 键 词: 估计概率; 贝叶斯统计; 贝叶斯推理
课程来源: 英国开放大学
数据采集: 2024-10-17:zsp
最后编审: 2024-10-17:zsp
阅读次数: 13