Data Science for Financial Econometrics PDF Download

Data Science for Financial Econometrics PDF
By:Nguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Trung
Published on 2020-11-02 by Springer

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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.

This Book was ranked at 31 by Google Books for keyword medical computer application algorithm.

Book ID of Data Science for Financial Econometrics's Books is GcuKzQEACAAJ, Book which was written byNguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Trunghave ETAG "Lci8u91sm08"

Book which was published by Springer since 2020-11-02 have ISBNs, ISBN 13 Code is 9783030488529 and ISBN 10 Code is 3030488527

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Book which have "380 Pages" is Printed at BOOK under CategoryComputers

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