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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hierarchical-bayesian-methods-for-alzheimers-disease/
课程评论：没有评论
课程名称：阿尔茨海默病的层次贝叶斯方法 课程概述：本课程是之前贝叶斯分析与STAN编程课程的集成项目，重点研究了来自MRI影像的阿尔茨海默病数据的层次贝叶斯分析。与传统的贝叶斯层次模型只探索单一层级内的变化不同，本课程深入探讨了五个层级内的变化，并发展了一套具体的方法论，以扩展分析的层次。这门课程的内容基于前两门课程获得的知识，或学生在使用STAN时的先前经验。我们希望这门课程能够帮助你作为研究人员或实践者，采用层次模型来应对数据中识别出的各种变化层级。
In this course which is a capstone project of the previous courses in Bayesian analysis and programming with STAN , the Hierarchical Bayesian Analysis has been explored on the Alzheimer`s disease data obtained from MRI images. contrary to convectional Bayesian Hierarchical models which only the variation within one single level has been explored , in this course the variation has bee explored within 5 levels and a concrete methodology has been developed in order to expand the level of analysis n more higher level of hierarchy.The course has been developed based on the knowledge either obtained from my two previous courses or based on the prior experience of the students working with STAN.I do hope that this course enables you as a researcher or as a practitioner to adopt Hierarchical models for any identified level of variation in your data.
