Felix chan (15 Ergebnisse)

Zustand: New. Klappentextrnrn 40 is the new 20. Many people are waiting for the love of their life to magically appear and they think it will take forever. It doesn t have to! Have you ever wondered why you are living on a planet with billions of people but.

Hardcover. Zustand: Near Fine. 1st Edition. Near fine copy in softcover. Green spine with yellow titles. Tall 8vo.

Paperback. Zustand: Brand New. 480 pages. 9.75x6.75x9.69 inches. In Stock.

Zustand: New. Num Pages: 692 pages, 5 b&w illustrations. BIC Classification: LNTX. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 15. Weight in Grams: 1000. . 2016. second edition. Paperback. . . . . Books ship from the US and Ireland.

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Hardcover. Zustand: Brand New. 73 pages. 8.75x5.50x0.50 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Econometrics with Machine Learning | Felix Chan (u. a.) | Taschenbuch | Advanced Studies in Theoretical and Applied Econometrics | xxii | Englisch | 2023 | Springer | EAN 9783031151514 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 393 pages. 9.25x6.10x0.81 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques 2) To what extent can machine learning techniques assist econometric investigation Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in 'big data 4) How can existing econometric techniques be extended by incorporating machine learning concepts 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques 6) Is it possible to develop machine learning techniques furtherand make them even more readily applicable in econometrics As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques 2) To what extent can machine learning techniques assist econometric investigation Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in 'big data 4) How can existing econometric techniques be extended by incorporating machine learning concepts 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques 6) Is it possible to develop machine learning techniques furtherand make them even more readily applicable in econometrics As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice. …