ISBN: 9783031151514 - econometrics with machine learning: 53 (advanced studies in theoretical and applied econometrics) (12 resultados)

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: 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.…

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

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Linear Econometric Models with Machine Learning.- Nonlinear Econometric Models with Machine Learning.- The Use of Machine Learning in Treatment Effect Estimation.-Forecasting with Machine Learning Methods.-Causal Estimation of Treatment Effects From Observational Health Care Data Using Machine Learning Methods.- Econometrics of Networks with Machine Learning.- Fairness in Machine Learning and Econometrics.- Graphical Models and their Interactions with Machine Learning in the Context of Economics and Finance.- Poverty, Inequality and Development Studies with Machine Learning.- Machine Learning for Asset Pricing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 396 pp. Englisch.…