elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Novel developments in causal graphical models for time series

Gerhardus, Andreas (2023) Novel developments in causal graphical models for time series. Seminarvortrag am Lehrstuhl für Mathematische Statistik der Technischen Universität München, 2023-11-06, Garching bei München. (Unpublished)

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/201014/
Document Type:Conference or Workshop Item (Speech)
Title:Novel developments in causal graphical models for time series
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gerhardus, AndreasAndreas.Gerhardus (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:6 November 2023
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:graphical models, causal discovery, time series, causality, causal inference, Zeitreihen, Kausalität, Kausale Inferenz, Graphische Modelle
Event Title:Seminarvortrag am Lehrstuhl für Mathematische Statistik der Technischen Universität München
Event Location:Garching bei München
Event Type:Other
Event Date:6 November 2023
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, E - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Analysis and Intelligence
Deposited By: Gerhardus, Andreas
Deposited On:22 Dec 2023 08:18
Last Modified:07 May 2024 09:50

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.