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Modules

Bayesian Statistics

Module code: MTH776P

Credits: 15.0
Semester: SEM2

Contact: Dr Alexander Shestopaloff

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

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