Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques
Year of publication: |
2024
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Authors: | Choi, Insu ; Kim, Woo Chang |
Published in: |
International review of financial analysis. - Amsterdam [u.a.] : Elsevier Science, ISSN 1057-5219, ZDB-ID 2029229-6. - Vol. 94.2024, Art.-No. 103252, p. 1-41
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Subject: | Critical mineral | Explainable artificial intelligence (xAI) | Industrial metal | Information theory | Risk boundaries | Statistical dependency | Künstliche Intelligenz | Artificial intelligence | Metallindustrie | Metal industry | Metallmarkt | Metal market | Risikomanagement | Risk management |
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