| Unit name | Statistical Modelling |
|---|---|
| Unit code | MATHM6008 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Academic Year (weeks 1 - 52) |
| Unit director | Dr. Didelez |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
None |
| School/department | School of Mathematics |
| Faculty | Faculty of Science |
This unit provides an introduction to many of the important aspects of statistical modelling, including the principles and practice of model selection, the role of conditional independence in modelling, techniques for graphical models, dealing with missing data and latent variables, and smoothing. The intention is to provide students with sufficient depth and generality of understanding that they can apply this knowledge across a broad range of modelling areas. The prerequisites are some previous exposure to linear and generalised linear models, likelihood theory and Bayesian inference.
