Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

• Published in: Applied soft computing Vol. 86; p. 105837
• Main Authors: Ribeiro, Matheus Henrique Dal Molin, dos Santos Coelho, Leandro
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2020
• Subjects: Agricultural commodity; Bagging; Boosting; Ensemble regression; Stacking; Time series; Boosting; Agricultural commodity; Stacking; Ensemble regression; Bagging; Time series

The investigation of the accuracy of methods employed to forecast agricultural commodities prices is an important area of study. In this context, the development of effective models is necessary. Regression ensembles can be used for this purpose. An ensemble is a set of combined models which act tog...