Data Science Financial Econometrics (27 results)
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
- First Edition
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Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Data Science for Financial Econometrics
Thach, Nguyen Ngoc (EDT); Kreinovich, Vladik (EDT); Trung, Nguyen Duc (EDT)
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Data Science for Financial Econometrics
Thach, Nguyen Ngoc (EDT); Kreinovich, Vladik (EDT); Trung, Nguyen Duc (EDT)
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Data Science for Financial Econometrics
Thach, Nguyen Ngoc (EDT); Kreinovich, Vladik (EDT); Trung, Nguyen Duc (EDT)
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer International Publishing, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Data Science for Financial Econometrics
Thach, Nguyen Ngoc (EDT); Kreinovich, Vladik (EDT); Trung, Nguyen Duc (EDT)
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Data Science for Financial Econometrics | Nguyen Ngoc Thach (u. a.) | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9783030488550 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 644 | Sprache: Englisch | Produktart: Bücher | 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.
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Language: English
Published by Springer International Publishing, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.
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Language: English
Published by Springer International Publishing, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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' insig…hts - 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.
Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Data Science for Financial Econometrics
Thach, Nguyen Ngoc (Editor)/ Kreinovich, Vladik (Editor)/ Trung, Nguyen Duc (Editor)
Language: English
Published by Springer-Nature New York Inc, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Hardcover. Condition: Brand New. 643 pages. 9.25x6.10x1.38 inches. In Stock.
Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
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Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.This book offers an overvie…w of state-of-the-art econometric.
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Language: English
Published by Springer International Publishing Nov 2021, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 - base…d 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques. 644 pp. Englisch.
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Language: English
Published by Springer International Publishing Nov 2020, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 re…searchers' 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques. 644 pp. Englisch.
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Language: English
Published by Springer, Palgrave Macmillan Nov 2021, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 644 pp. Englisch.
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Language: English
Published by Springer, Palgrave Macmillan Nov 2020, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 resear…chers' 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 of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 644 pp. Englisch.
Language: English
Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2020
Series: Book 426 of 538 - Studies in Computational Intelligence
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Published by Springer, 2021
Series: Book 426 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer, 2020
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