Titlebook: Behavioral Predictive Modeling in Economics; Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Y Book 2021 The Editor(s) (if applicable) an

BRACE

P. D. Lax,C. D. Levermore,S. Venakidese (GBM), we tailor the standard Lasso by differentiating the penalty level according to an expert’s experience, in order to handle for participants’ frequent entries and exits in surveys. The tailored Lasso delivers strong empirical results in the SPF and beats all other methods except for the overa

Intend

牲畜欄

Weight Determination Model for Social Networks in a Trust-Enhanced Recommender Systemts and Choquet integral and it also utilizes fuzzy measures to deduce the effect of trust complementary and redundancy in recommendations. The model can help remove deviations caused by interactions, and improve the accuracy and objectivity of recommendations.

尖牙

aphasia

pericardium

公豬

https://doi.org/10.1007/978-3-030-49728-6Computational Intelligence; Intelligent Systems; Behavioral Economics; Econometrics; Probabilistic Metho

NATAL

978-3-030-49730-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

原始

GLUE

https://doi.org/10.1007/978-3-031-38103-4ometricians. The emphasis is upon the current effort to promote quantum probability as the most appropriate and reliable model for uncertainty in behavioral economics, both in human decision-making (e.g., in investment portfolio selection), and modeling of financial data, taking into account of human factor.