Articles liés à Data Science for Financial Econometrics
Synopsis
A Theory-based Lasso for Time-Series Data.- Invariance-Based Explanation.- Composition of Quantum Operations and Their Fixed Points.- Information quality: the contribution of fuzzy methods.- Parameter-Centric Analysis Grossly Exaggerates Certainty.- Three Approaches to the Comparison of Random Variables.- A QP framework: a contextual representation of agents' preferences in investment choice.- How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale.- Extending the A Priori Procedure (APP) to Address Correlation Coefficients.- Variable Selection and Estimation in Kink Regression Model.- Performance of microfinance institutions in Vietnam.- Factors Influencing on University Reputation in Viet Nam: Model Selection by AIC.- Impacts of Internal and External Macro Factors on Firm Stock Price in an Expansion Econometric Model - A Case in Vietnam Real Estate Industry.- How Values Influence Economic Progress? An Evidence from South And Southeast Asian Countries.- The Effect of Governance Characteristics on Firm Performance: Evidence from Vietnam.- Does Capital Affect Bank Risk in Vietnam: A Bayesian Approach.
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Data Science for Financial Econometrics
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Springer, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.36. N° de réf. du vendeur G3030488527I4N00
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Data Science for Financial Econometrics (Studies in Computational Intelligence, 898)
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Springer, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
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Data Science for Financial Econometrics
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Springer International Publishing, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
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Gebunden. Etat : New. N° de réf. du vendeur 448683244
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Data Science for Financial Econometrics (Studies in Computational Intelligence, 898)
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Data Science for Financial Econometrics
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Data Science for Financial Econometrics
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Data Science for Financial Econometrics
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9783030488529
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Data Science for Financial Econometrics
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Springer International Publishing Nov 2020, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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 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. N° de réf. du vendeur 9783030488529
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Data Science for Financial Econometrics
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 644 pp. Englisch. N° de réf. du vendeur 9783030488529
Quantité disponible : 2 disponible(s)
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Data Science for Financial Econometrics
Edité par
Springer, 2020
ISBN 10 : 3030488527
ISBN 13 : 9783030488529
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 42333092
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