A short Course on Causal Inference
Correlation is not Causation! But how can we find answers to questions like "How effective is a given treatment in preventing a disease" or "Did global warming cause this heat wave" based on available data? The scientific field of causal inference gives us tools to tackle these kind of questions. In this short course we will give a first introduction to causal thinking and its applications to problems from different scientific disciplines.
Contact
Dr. O. Kamps
Tel.: +49 251 83-34924,
E-Mail: okamp(at)uni-muenster.de
Date & Room
Tue. 27.10.2020 and Wed. 28.09.2020 in room KP/TP 304
The lecture starts at 10 am
Contents and Literature
Contents
- Graphical Models
- do-Calculus
- Interventions
- Counterfactuals
- Applications
Literature
- The Book of Why, J. Pearl, D. Mackenzi, Basic Books 2018
- Causal Inference in Statistics, J.Pearl, M. Glymour, N.P. Jewell, Wiley 2016
Lecture materials
Lecture materials
The materials for the lecture are available in the Learnwerb