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Learning cause-and-effect relationships from time series data

Gerhardus, Andreas (2022) Learning cause-and-effect relationships from time series data. 1st Causal Methods in Environmental Science Workshop, 2022-12-06 - 2022-12-07, Hybrid (Cambridge, UK, und online).

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Item URL in elib:https://elib.dlr.de/191585/
Document Type:Conference or Workshop Item (Speech)
Title:Learning cause-and-effect relationships from time series data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gerhardus, AndreasAndreas.Gerhardus (at) dlr.dehttps://orcid.org/0000-0003-1868-655XUNSPECIFIED
Date:December 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:causal discovery, time series, causality, causal inference, Zeitreihen, Kausalität, kausale Inferenz
Event Title:1st Causal Methods in Environmental Science Workshop
Event Location:Hybrid (Cambridge, UK, und online)
Event Type:Workshop
Event Start Date:6 December 2022
Event End Date:7 December 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:14 Dec 2022 08:28
Last Modified:31 May 2024 09:23

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