Beyond Traditional Probabilistic Methods in Economics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kreinovich, Vladik (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Thach, Nguyen Ngoc (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Trung, Nguyen Duc (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Van Thanh, Dang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Computational Intelligence, 809
• Θέματα: 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...