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Sprache: Englisch
Verlag: Oxford University Press OUP, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
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Sprache: Englisch
Verlag: Oxford UP,, 2025
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Soft cover. Zustand: New. ISBN:9780198918837,352pp.
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Sprache: Englisch
Verlag: Oxford University Press, GB, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
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In den WarenkorbPaperback. Zustand: New. Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. The volume covers automatic variable selection in various high-dimensional contexts, estimation of treatment effect heterogeneity, natural language processing (NLP) techniques, as well as synthetic control and macroeconomic forecasting. The foundations of machine learning methods are introduced to provide both a thorough theoretical treatment of how they can be used in econometrics and numerous economic applications, and each chapter contains a series of empirical examples, programs, and exercises to facilitate the reader's adoption and implementation of the techniques.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Oxford University Press, Oxford, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
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Paperback. Zustand: new. Paperback. Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. The volume covers automatic variable selection in various high-dimensional contexts, estimation of treatment effect heterogeneity, natural language processing (NLP) techniques, as wellas synthetic control and macroeconomic forecasting. The foundations of machine learning methods are introduced to provide both a thorough theoretical treatment of how they can be used in econometrics andnumerous economic applications, and each chapter contains a series of empirical examples, programs, and exercises to facilitate the reader's adoption and implementation of the techniques. Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 352 pages. 6.69x0.79x9.69 inches. In Stock.
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