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Behavioral Predictive Modeling in Economics: 897 (Studies in Computational Intelligence) - Tapa blanda

Libro 407 de 538: Studies in Computational Intelligence
 
9783030497309: Behavioral Predictive Modeling in Economics: 897 (Studies in Computational Intelligence)
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ISBN 10: 3030497305 ISBN 13: 9783030497309
Editorial: Springer, 2021

Sinopsis

This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques. 

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De la contraportada

This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques. 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030497305
ISBN 13 
9783030497309
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
464
Editor
Sriboonchitta Songsak, Kreinovich Vladik, Yamaka Woraphon
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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