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Measuring disagreement in qualitative expectations

Mokinski, Frieder; Sheng, Xuguang; Yang, Jingyun - In: Journal of forecasting 34 (2015) 5, pp. 405-426

Persistent link: https://www.econbiz.de/10011318291

Improving sales forecasting accuracy : a tensor factorization approach with demand awareness

Bi, Xuan; Adomavicius, Gediminas; Li, William; Qu, Annie - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 3, pp. 1644-1660

Persistent link: https://www.econbiz.de/10013361789

Predictive modeling in marketing : ensemble methods for response modeling

Alves Werb, Gabriela; Schmidberger, Martin - In: Die Unternehmung : Swiss journal of business research … 75 (2021) 3, pp. 376-396

Persistent link: https://www.econbiz.de/10012650059

Assessing the predictive performance of machine learning in direct marketing response

Choi, Youngkeun; Choi, Jae W. - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10015051116

Prognoseverfahren

Wöller, Rolf - 2008

Persistent link: https://www.econbiz.de/10003767410

Power grid operation optimization and forecasting using a combined forecasting system

Zhang, Lifang; Wang, Jianzhou; Liu, Zhenkun - In: Journal of forecasting 42 (2023) 1, pp. 124-153

Persistent link: https://www.econbiz.de/10013465771

Evaluating the effectiveness of modern forecasting models in predicting commodity futures prices in volatile economic times

Vancsura, László; Tatay, Tibor; Bareith, Tibor - In: Risks : open access journal 11 (2023) 2, pp. 1-16

The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...

Persistent link: https://www.econbiz.de/10014233184

Introduction: 2022 Daniel H. Wagner prize for excellence in the practice of advanced analytics and operations research

Bjarnadóttir, Margrét Vilborg; Stone, Lawrence D. - In: INFORMS journal on applied analytics 53 (2023) 5, pp. 333-335

Persistent link: https://www.econbiz.de/10014383146

Evaluating interpretable machine learning predictions for cryptocurrencies

El Majzoub, Ahmad; Rabhi, Fethi A.; Hussain, Walayat - In: Intelligent systems in accounting, finance & management 30 (2023) 3, pp. 137-149

Persistent link: https://www.econbiz.de/10014375320

Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

forecasting and optimisation: theory and applications -- 13. Enhanced forecasting with LSTVAR-ANN hybrid model: application in … insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in … Europe and the US. His research is primarily focused on economics and empirical aspects of forecasting in air transportation …

Persistent link: https://www.econbiz.de/10014369591