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Lingua: Inglese
Editore: Oxford University Press OUP, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Lingua: Inglese
Editore: Oxford UP,, 2025
Da: Books in my Basket, New Delhi, India
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Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9780198918837,352pp.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Oxford University Press, GB, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 55,72
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Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2025
ISBN 10: 0198918836 ISBN 13: 9780198918837
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
EUR 46,22
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Aggiungi al carrelloPaperback. Condizione: Brand New. 352 pages. 6.69x0.79x9.69 inches. In Stock.
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Condizione: New.
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Aggiungi al carrellopaperback. Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 336 pages. 6.18x0.71x9.25 inches. In Stock.
Condizione: New.