Module code: MTH6102
Credits: 15.0
Semester: SEM1
Contact: Dr Eftychia Solea
Prerequisite: Before taking this module you must take MTH5120
This module aims to introduce you to the Bayesian paradigm. You will be shown some of the drawbacks with classical statistical methods and that the Bayesian paradigm provides a unified approach to problems of statistical inference and prediction. At the end you will be able to make Bayesian inferences in a variety of situations and know how to use suitable software. Bayesian methods are being increasingly used across many applications and it is important that you know about them.
Connected course(s): UDF DATA
Assessment: 100.0% Examination
Level: 6
