You have to be signed in to use this resource.
Bayesian Hierarchical Modelling
Resource details
Bayesian hierarchical modelling is astatistical model written in multiple levels(hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method.This learning is split into three modules and this resource maps to capability ID 6.6.0.1.58 of domain 6 of the Artificial Intelligence (AI) and Digital Healthcare Technologies Capability Framework
Introduction to Bayesian Hierarchical Modelling
Bayesian Hierarchical Modelling with Stan (Session 1)
Bayesian Hierarchical Modelling with Stan (Session 2)
Contributed by: | Artificial intelligence beyond the basics |
Authored by: |
|
Licence: | © All rights reserved More information on licences |
Last updated: | 13 November 2024 |
First contributed: | 19 September 2024 |
Audience access level: | Full user |
Report an issue with this resource
You may report a resource, for example, if there is an issue with copyright infringement, breach of personal data, factual inaccuracies, typing errors or safety concerns. The type of issue will determine whether the resource is immediately removed from the platform or if the contributor is asked to make amendments. You can report a resource from the resource information page or by contacting the Learning Hub support team.
You can contact the Learning Hub support team by completing the support form or if you have a general enquiry you can email enquiries@learninghub.nhs.uk.