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  • Search: subject:"Causal structure learning"
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Year of publication
Subject
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Causal structure learning 3 Aktienmarkt 1 Artificial intelligence 1 Behavioral economics 1 Business network 1 Causal discovery 1 Causal inference 1 Causality analysis 1 Data science 1 Elastic-net-VAR 1 Ensemble models 1 Forecasting model 1 Generalizability 1 Handelsvolumen der Börse 1 Kausalanalyse 1 Künstliche Intelligenz 1 Learning process 1 Lernprozess 1 Log data 1 Machine learning 1 Manufacturing industry 1 Multilayer networks, trading volume 1 Predictive modeling 1 Prognoseverfahren 1 Reproducibility 1 Robustness 1 Simulation 1 Stock market 1 Trading volume 1 Unternehmensnetzwerk 1 Verhaltensökonomik 1 Virtual reality 1 Virtuelle Realität 1 Welt 1 World 1 causal structure learning 1 invariance 1 structural equation models 1
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Online availability
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Free 2 Undetermined 2 CC license 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 research-article 1
Language
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English 4
Author
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Aksoy, Sinan 1 Arendt, Dustin 1 Ayton, Ellyn 1 Borjigin, Sumuya 1 Cottam, Joseph 1 Glenski, Maria 1 Hagedorn, Christopher 1 Heinze-Deml, Christina 1 Huegle, Johannes 1 Jefferson, Brett 1 Meinshausen, Nicolai 1 Peters, Jonas 1 Saldanha, Emily 1 Schlosser, Rainer 1 Shrivaram, Karthnik 1 Volkova, Svitlana 1 Xiang, Youtao 1
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Published in...
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Computational & mathematical organization theory 1 Global finance journal 1 Journal of Causal Inference 1 Journal of Intelligent Manufacturing 1
Source
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ECONIS (ZBW) 2 EconStor 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning
Hagedorn, Christopher; Huegle, Johannes; Schlosser, Rainer - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 2027-2043
step to include continuous variables. We enrich a commonly used causal structure learning algorithm with domain …
Persistent link: https://www.econbiz.de/10015327952
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Multilayer networks for measuring interconnectedness among global stock markets through the lens of trading volume-price relationship
Xiang, Youtao; Borjigin, Sumuya - In: Global finance journal 62 (2024), pp. 1-25
Persistent link: https://www.econbiz.de/10015421476
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Explaining and predicting human behavior and social dynamics in simulated virtual worlds : reproducibility, generalizability, and robustness of causal discovery methods
Volkova, Svitlana; Arendt, Dustin; Saldanha, Emily; … - In: Computational & mathematical organization theory 29 (2023) 1, pp. 220-241
Persistent link: https://www.econbiz.de/10014251664
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Invariant Causal Prediction for Nonlinear Models
Heinze-Deml, Christina; Peters, Jonas; Meinshausen, Nicolai - In: Journal of Causal Inference 6 (2018) 2
Abstract An important problem in many domains is to predict how a system will respond to interventions. This task is inherently linked to estimating the system’s underlying causal structure. To this end, Invariant Causal Prediction (ICP) [ 1 ] has been proposed which learns a causal model...
Persistent link: https://www.econbiz.de/10014610861
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