STA4027Z - Bayesian Computational Methods

12 credits at NQF level 8

Entry Requirements:

Currently doing an honours or masters degree in statistics or at the discretion of the Head of Department.

Course Outline:

The course aims to provide students with an introduction to the Bayesian method and the acquisition of the theory and methods required to apply Bayesian analysis to real world practical problems. Topics included in the course are as follows: Bayesian linear regression, variable selection, mixture modelling, Markov chain Monte Carlo methods (theory and practical applications).