Online learning resource on Bayesian methods now available

Date
Category
Contributer news
Author(s)
Ed Grover

A new online learning resource on modern Bayesian computation is now available on the NCRM website.

Presented by Dr Gabriel Katz from the University of Exeter, the resource focuses on the two most widely used Bayesian algorithms: the Gibbs Sampler and the Metropolis-Hastings.

The resource, called Advanced Bayesian Methods, comprises six videos, as well as supporting materials and related content.

Explore our online learning resource, Advanced Bayesian Methods