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| Artikel-Nr.: 5667A-9783031436000 Herst.-Nr.: 9783031436000 EAN/GTIN: 9783031436000 |
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 | help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially techniques of machine learning,and help researchers to further develop these important research directions. We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments. Weitere Informationen:  |  | Author: | Vladik Kreinovich; Songsak Sriboonchitta; Woraphon Yamaka | Verlag: | Springer International Publishing | Sprache: | eng |
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 | Weitere Suchbegriffe: chemische technik - englischsprachig, Artificial Intelligence in Credit Scoring; COVID-19 Situation; Econometrics; Financial Risk Measures; Machine Learning, Machine Learning, Econometrics, COVID-19 Situation, Artificial Intelligence in Credit Scoring, Financial Risk Measures |
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