Beyond Traditional Probabilistic Methods in Economics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kreinovich, Vladik (Editor, http://id.loc.gov/vocabulary/relators/edt), Thach, Nguyen Ngoc (Editor, http://id.loc.gov/vocabulary/relators/edt), Trung, Nguyen Duc (Editor, http://id.loc.gov/vocabulary/relators/edt), Van Thanh, Dang (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 809
• Subjects: Computational intelligence.; Artificial intelligence.; Economic theory.; Computational Intelligence.; Artificial Intelligence.; Economic Theory/Quantitative Economics/Mathematical Methods.

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 eco...