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.
Due to the Corona Pandemic the lecture will be available as livestream via learnweb! All recordings will be stored in learnweb for later use!
Dr. O. Kamps
Tel.: +49 251 83-34924,
Date & Room
The lecture had to be moved to later date in the semester!
Mo. 22.03.2021 and Tue. 23.03.2021 in room KP/TP 304
Schedule Tue. and Wed. 14.15 - 15:45 Lecture 15:45 - 16:00 Break 16:00 - 16:45 Lecture
Contents and Literature
- Graphical Models
- The Book of Why, J. Pearl, D. Mackenzi, Basic Books 2018
- Causal Inference in Statistics, J.Pearl, M. Glymour, N.P. Jewell, Wiley 2016
The materials for the lecture are available in the Learnwerb