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Springer Econometrics with Machine Learning - Advanced Studies

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Description

Expand your analytical capabilities with Econometrics with Machine Learning, part of the Advanced Studies in Theoretical and Applied Econometrics series by Springer. This volume explores how machine learning tools and techniques can enhance and expand the existing econometrics toolbox for both theoretical and practical applications. The authors address fundamental questions regarding the relationship between econometric and machine learning methods. The text investigates the extent to which machine learning can assist econometric investigation, specifically examining the robustness and stability of predictions from machine learning algorithms in the context of changing human behavior. This book serves as a comprehensive resource for understanding the similarities and differences between these two fields.

Key Features

Published by Springer as part of the Advanced Studies in Theoretical and Applied Econometrics series.

Provides a detailed look at how machine learning tools can enhance the existing econometrics toolbox.

Examines the similarities between existing econometric techniques and machine learning methods.

Investigates the stability and robustness of machine learning algorithm predictions.

Explores the application of these techniques in both theoretical and practical econometric settings.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 September 2023
Listed Since
12 August 2023

Barcode

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