Bayesian Statistics

Module code: MTH709U

Credits: 15.0
Semester: SEM2

Contact: Dr Alexander Shestopaloff
Overlap: In taking this module you cannot take MTH6102
Prerequisite: Before taking this module you must take MTH6134

The module aims to introduce you to the Bayesian paradigm. The module will show some of the problems with frequentist statistical methods and demonstrate  that the Bayesian paradigm provides a unified approach to problems of statistical inference and prediction.  In the Module you will learn to make Bayesian inferences in a variety of problems, and apply Bayesian methods in real-life examples.

Connected course(s): UDF DATA
Assessment: 100.0% Examination
Level: 7