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Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes

Runge, Jakob (2022) Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes. BANFF Workshop in Extremes and causality, 2022-07, Banff, Kanada (Virtuell).

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Item URL in elib:https://elib.dlr.de/191985/
Document Type:Conference or Workshop Item (Speech)
Title:Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Runge, JakobJakob.Runge (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:July 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:kausale Inferenz, causal inference, künstliche Intelligenz, artificial intelligence
Event Title:BANFF Workshop in Extremes and causality
Event Location:Banff, Kanada (Virtuell)
Event Type:Workshop
Event Date:July 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: Simha, Sagar Nagaraj
Deposited On:19 Dec 2022 11:28
Last Modified:31 May 2024 11:07

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