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Würflein, Nick (2024) A combination of constrained-based and functional-model based causal discovery algorithms for time series. Master's, Friedrich-Schiller-Universität Jena.
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| Item URL in elib: | https://elib.dlr.de/210834/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | A combination of constrained-based and functional-model based causal discovery algorithms for time series | ||||||||
| Authors: |
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| Date: | 2024 | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | causal discovery, time series | ||||||||
| Institution: | Friedrich-Schiller-Universität Jena | ||||||||
| 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: | 27 Jan 2025 08:36 | ||||||||
| Last Modified: | 28 Jan 2025 17:01 |
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