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Complementing South African inflation surveys : a suitable forecasting tool
Van Heerden, Chris; Heymans, Andre; Seetharam, Yudhvir - In: Journal of economic and financial sciences : JEF 11 (2018) 1, pp. 1-14
Persistent link: https://www.econbiz.de/10012017405
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Nowcasting economic activity with electronic payments data : a predictive modeling approach
León, Carlos; Ortega, Fabio - In: Revista de economía del Rosario 21 (2018) 2, pp. 381-407
Persistent link: https://www.econbiz.de/10012029993
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Comparison of near neighbour and neural network in travel forecasting
Olmedo, Elena - In: Journal of forecasting 35 (2016) 3, pp. 217-223
Persistent link: https://www.econbiz.de/10011580270
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Forecasting incoming call volumes in call centers with recurrent Neural Networks
Jalal, Mona Ebadi; Hosseini, Monireh; Karlsson, Stefan - In: Journal of business research : JBR 69 (2016) 11, pp. 4811-4814
Persistent link: https://www.econbiz.de/10011588472
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Real Estate valuation and forecasting in non-homogeneous markets : a case study in Greece during the financial crisis
Alexandridis, Antonios K.; Papastamos, Dimitrios; … - In: Journal of the Operational Research Society 70 (2019) 10, pp. 1769-1783
Persistent link: https://www.econbiz.de/10012214772
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Forecasting agricultural commodity pricing using neural network-based approach
Varma, G. Nikhila; Padman, K. - In: International journal of business information systems : … 31 (2019) 4, pp. 517-529
Persistent link: https://www.econbiz.de/10012144941
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A new consensus between the mean and median combination methods to improve forecasting accuracy
Aras, Serkan; Gülay, Emrah - In: Serbian journal of management : an international … 12 (2017) 2, pp. 217-236
To improve the forecasting accuracies, researchers have long been using various combination techniques. In particular …, the use of dissimilar methods for forecasting time series data is expected to provide superior results. Although numerous …
Persistent link: https://www.econbiz.de/10011823167
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Nowcasting economic activity with electronic payments data : a predictive modeling approach
León, Carlos; Ortega, Fabio - 2018
Persistent link: https://www.econbiz.de/10011870442
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Multiple time series forecasting using quasi-randomized functional link neural networks
Moudiki, Thierry; Planchet, Frédéric; Cousin, Areski - In: Risks : open access journal 6 (2018) 1, pp. 1-20
We are interested in obtaining forecasts for multiple time series, by taking into account the potential nonlinear relationships between their observations. For this purpose, we use a specific type of regression model on an augmented dataset of lagged time series. Our model is inspired by dynamic...
Persistent link: https://www.econbiz.de/10011811615
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Forecasting US tourist arrivals using optimal singular spectrum analysis
Hassani, Hossein; Webster, Allan D.; Silva, Emmanuel Sirimal - In: Tourism management : research, policies, practice 46 (2015), pp. 322-335
Persistent link: https://www.econbiz.de/10010486219