This article is categorized as "Garbage" . It should NEVER be appeared in your search engine's results.
本笔记写于2023年8月,原因是发现自己时隔一年无法盲背prior/posterior/MLE/MAP的一些概念,尤其是MLE和MAP.
所以本笔记不怎么涉及贝叶斯网络/贝叶斯滤波/卡尔曼滤波 等内容,能重新学会就可以,并不一定需要把所有的笔记列举完毕,因为过去2年写的笔记里和条件概率挂钩的东西有点多,各个角落里都有。
所以最终挑出了3篇强相关的笔记作为集合:
🔗 [2021-10-22 - Truxton's blog] https://truxton2blog.com/2021-10-22/
🔗 [2022-08-20 - Truxton's blog] https://truxton2blog.com/2022-08-20/
🔗 [(2023年8月)紧急回顾:条件概率/贝叶斯/MLE/MAP - Truxton's blog] https://truxton2blog.com/2023-08-relearn-likelihood-bayesian-mle-map/
为了方便搜索到这篇导航文章,这里是关键词:
bayesian, bayesian inference, maximum likelihood estimation, maximize a posteriori, maximum a posteriori, MLE, MAP, point estimation, 点估计,贝叶斯,频率学派,贝叶斯学派,贝叶斯估计,最大似然,最大似然估计,先验,后验,prior, posterior
Last Modified in 2024-10-19