Introduction to the foundations of causal discovery
| Autor: | Frederick Eberhardt |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Applied Mathematics 02 engineering and technology Causality Data science Computer Science Applications Variety (cybernetics) 03 medical and health sciences Management information systems 030104 developmental biology Computational Theory and Mathematics Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Graphical model Information Systems Mathematics |
| Zdroj: | International Journal of Data Science and Analytics. 3:81-91 |
| ISSN: | 2364-4168 2364-415X |
| DOI: | 10.1007/s41060-016-0038-6 |
| Popis: | This article presents an overview of several known approaches to causal discovery. It is organized by relating the different fundamental assumptions that the methods depend on. The goal is to indicate that for a large variety of different settings the assumptions necessary and sufficient for causal discovery are now well understood. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink