Overview
- Presents a state-of-the-art overview of what can be done and what should be done to incorporate behavioral predictive models into econometrics
- Showcases recently developed behavioral models
- Written by respected experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 897)
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Table of contents (29 chapters)
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Theoretical Results
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Behavioral Predictive Modeling in Economics
Editors: Songsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-49728-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-49727-9Published: 06 August 2020
Softcover ISBN: 978-3-030-49730-9Published: 07 August 2021
eBook ISBN: 978-3-030-49728-6Published: 05 August 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 451
Number of Illustrations: 39 b/w illustrations, 52 illustrations in colour
Topics: Computational Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods