Christina Heinze-Deml: Catalogue data in Spring Semester 2020 |
| Name | Dr. Christina Heinze-Deml |
| Address | Seminar für Statistik (SfS) ETH Zürich, HG G 10.3 Rämistrasse 101 8092 Zürich SWITZERLAND |
| heinzedeml@stat.math.ethz.ch | |
| Department | Mathematics |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 401-4632-15L | Causality  | 4 credits | 2G | C. Heinze-Deml | |
| Abstract | In statistics, we are used to search for the best predictors of some random variable. In many situations, however, we are interested in predicting a system's behavior under manipulations. For such an analysis, we require knowledge about the underlying causal structure of the system. In this course, we study concepts and theory behind causal inference. | ||||
| Objective | After this course, you should be able to - understand the language and concepts of causal inference - know the assumptions under which one can infer causal relations from observational and/or interventional data - describe and apply different methods for causal structure learning - given data and a causal structure, derive causal effects and predictions of interventional experiments | ||||
| Prerequisites / Notice | Prerequisites: basic knowledge of probability theory and regression | ||||