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Methods IV: Statistical Learning
Last Updated: 2026-02-05 15:53:40
Abstract
This course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.
Objective
Familiarity with the key research designs and statistical methods used for causal inference from randomised and observational data.
Content
Topics include linear regression with interaction and fixed effects, binary logistic regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, principal component analysis, factor analysis, and item response theory.
Resources
Literature
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An introduction to statistical learning. Springer, 2013. (7th edition). The PDF of the textbook is made freely and legally available by the authors and Springer press and part of the course package.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 15
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| exercise | Methods IV: Statistical Learning |
|
2 h weekly |
| seminar | Methods IV: Statistical Learning |
|
2 h weekly |