Editors:
- Provides recent research on Econometrics for Financial Applications
- Introduces theoretical foundations and applications
- Fourth International Econometric Conference of Vietnam—ECONVN2021, Ho Chi Minh City, Vietnam, January 11-13, 2021
Part of the book series: Studies in Computational Intelligence (SCI, volume 983)
Conference series link(s): ECONVN: International Econometric Conference of Vietnam
Conference proceedings info: ECONVN 2021.
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Table of contents (49 chapters)
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Front Matter
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Theoretical Results
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Front Matter
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About this book
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
Editors and Affiliations
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Banking University Ho Chi Minh City, Ho Chi Minh, Vietnam
Nguyen Ngoc Thach
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Banking University of Ho Chi Minh City, Ho Chi Minh, Vietnam
Doan Thanh Ha, Nguyen Duc Trung
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Computer Science Department, University of Texas at El Paso, El Paso, USA
Vladik Kreinovich
Bibliographic Information
Book Title: Prediction and Causality in Econometrics and Related Topics
Editors: Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-77094-5
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 2022
Hardcover ISBN: 978-3-030-77093-8Published: 27 July 2021
Softcover ISBN: 978-3-030-77096-9Published: 28 July 2022
eBook ISBN: 978-3-030-77094-5Published: 26 July 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 682
Number of Illustrations: 47 b/w illustrations, 129 illustrations in colour
Topics: Computational Intelligence