Springer Book Archives: eBooks only 8.99 each! Save now >>

Studies in Computational Intelligence

Beyond Traditional Probabilistic Methods in Economics

Editors: Kreinovich, V., Thach, N.N., Trung, N.D., Van Thanh, D. (Eds.)

Free Preview
  • Includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2019), held in Ho Chi Minh City, Vietnam on January 14–16, 2019
  • Presents recent research on probabilistic methods in economics, from machine learning to statistical analysis, the problem of modeling structural changes in data, and a fresh look at cognitive decision-making affecting predictive modeling of financial data
  • Written by respected experts in the field
see more benefits

Buy this book

eBook 277,13 €
price for Spain (gross)
  • ISBN 978-3-030-04200-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 343,19 €
price for Spain (gross)
  • ISBN 978-3-030-04199-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.

In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.

This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.

Table of contents (84 chapters)

Table of contents (84 chapters)

Buy this book

eBook 277,13 €
price for Spain (gross)
  • ISBN 978-3-030-04200-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 343,19 €
price for Spain (gross)
  • ISBN 978-3-030-04199-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Beyond Traditional Probabilistic Methods in Economics
Editors
  • Vladik Kreinovich
  • Nguyen Ngoc Thach
  • Nguyen Duc Trung
  • Dang Van Thanh
Series Title
Studies in Computational Intelligence
Series Volume
809
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-04200-4
DOI
10.1007/978-3-030-04200-4
Hardcover ISBN
978-3-030-04199-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 1157
Number of Illustrations
82 b/w illustrations, 124 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.