| Unit name | Bayesian Modelling A |
|---|---|
| Unit code | MATH34910 |
| Credit points | 10 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Tadic |
| Open unit status | Not open |
| Pre-requisites | |
| Co-requisites |
None |
| School/department | School of Mathematics |
| Faculty | Faculty of Science |
This unit will introduce you to an alternative approach to statistical modelling and inference, with a rather different flavour from those taught elsewhere in our programmes. The main aims of the unit are to acquaint you with the basic concepts of Bayesian statistics, and to provide you with the necessary background and experience to apply Bayesian modelling techniques to realistic statistical problems. This unit will discuss Bayesian approach to statistical analysis and modelling. We introduce the basic elements of Bayesian theory, beginning with Bayes theorem, and go on to discuss the applications of this approach to statistical modelling.
