Data Science for Financial Econometrics
This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models - based on researchers' insights - can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples…
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Produktdetails
Weitere Autoren: Kreinovich, Vladik (Hrsg.) / Trung, Nguyen Duc (Hrsg.)
- ISBN: 978-3-030-48853-6
- EAN: 9783030488536
- Produktnummer: 36917875
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 633 S.
- Plattform: PDF
- Auflage: 1st ed. 2021
- Reihenbandnummer: 898
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