Hierarchical Bayesian Methods for Alzheimer`s Disease
From Model Development to Model Execution
Ratings 4.32 / 5.00
What You Will Learn!
- Hierarchical Bayesian Models
- Probabilistic Programming with STAN
Description
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.
Who Should Attend!
- Graduate students who have worked with Bayesian Modelling
