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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

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

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

Machine learning advances for time series forecasting

Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - 2020

series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …

Persistent link: https://www.econbiz.de/10012390030

Machine learning advances for time series forecasting

Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - In: Journal of economic surveys 37 (2023) 1, pp. 76-111

Persistent link: https://www.econbiz.de/10014287800

Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: Journal of the Operational Research Society 74 (2023) 3, pp. 840-859

Persistent link: https://www.econbiz.de/10014332223

Analysis of the application of different forecasting methods for time series in the context of the aeronautical industry

Camargo, Antônio Augusto Rodrigues de; Oliveira, Mauri … - In: International journal of business forecasting and … 9 (2024) 3, pp. 300-317

Persistent link: https://www.econbiz.de/10015060709

Forecasting interval-valued returns of crude oil : a novel kernel-based approach

Yang, Kun; Xu, Xueqing; Wei, Yunjie; Wang, Shouyang - In: Journal of forecasting 43 (2024) 8, pp. 2937-2953

Persistent link: https://www.econbiz.de/10015110584

Alternative approaches to the prediction of electricity prices

Domanski, Pawel D.; Gintrowski, Mateusz - In: International Journal of Energy Sector Management 11 (2017) 1, pp. 3-27

the field of the electricity price forecasting. Thus, it gives a new impact for further research enabling development of …

Persistent link: https://www.econbiz.de/10014773862

How do less advanced forecasting methods perform on weekly RevPAR in different forecasting horizons following the recession?

Zheng, Tianshu; Bloom, Barry A. N.; Wang, Xiaofang; … - In: Tourism analysis : an interdisciplinary tourism & … 17 (2012) 4, pp. 459-472

Persistent link: https://www.econbiz.de/10009688857