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Gerhardus, Andreas (2022) Reliable causal discovery in time series. Workshop on Artificial Intelligence, Causality and Personalised Medicine (AICPM 2022), 2022-09-08 - 2022-09-09, Hybrid (Hannover, Deutschland, und online).
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Official URL: https://leibniz-ai-lab.de/wp-content/uploads/2022/10/AndreasGerhardus.pdf
Abstract
In this talk I will, first, introduce the so-called causal discovery task, that is, the task of learning cause-and-effect relationships from observational data. I will then present three algorithms for causal discovery that have been (co-)developed by the Causal Inference research group at the DLR-Institute of Data Science in Jena. These algorithms are specifically designed to deal with the specifics of time series data and are available as part of the Python package tigramite.
| Item URL in elib: | https://elib.dlr.de/191039/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Reliable causal discovery in time series | ||||||||
| Authors: |
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| Date: | September 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | causal discovery, time series, causal inference, causality | ||||||||
| Event Title: | Workshop on Artificial Intelligence, Causality and Personalised Medicine (AICPM 2022) | ||||||||
| Event Location: | Hybrid (Hannover, Deutschland, und online) | ||||||||
| Event Type: | Workshop | ||||||||
| Event Start Date: | 8 September 2022 | ||||||||
| Event End Date: | 9 September 2022 | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | other | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R - no assignment | ||||||||
| DLR - Research theme (Project): | R - no assignment | ||||||||
| Location: | Jena | ||||||||
| Institutes and Institutions: | Institute of Data Science > Data Analysis and Intelligence | ||||||||
| Deposited By: | Gerhardus, Andreas | ||||||||
| Deposited On: | 05 Dec 2022 11:17 | ||||||||
| Last Modified: | 31 May 2024 10:38 |
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