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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
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Modelling tourism demand to Spain with machine learning techniques : the impact of forecast horizon on model selection
Claveria, Oscar; Torra, Salvador; Monte, Enric - In: Revista de economía aplicada : REA 24 (2016) 72, pp. 109-132
Persistent link: https://www.econbiz.de/10012261644
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Forecasting tourist daily arrivals with a hybrid SARIMA-LSTM approach
Wu, Chi Wai; Ji, Lei; He, Kaijian; Tso, Kwok Fai Geoffrey - In: Journal of hospitality & tourism research : JHTR ; the … 45 (2021) 1, pp. 52-67
Persistent link: https://www.econbiz.de/10012426089
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Winning methods for forecasting seasonal tourism time series
Brierley, Phil - In: International journal of forecasting 27 (2011) 3, pp. 853-854
Persistent link: https://www.econbiz.de/10009248093
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A novel approach to model selection in tourism demand modeling
Akın, Melda - In: Tourism management : research, policies, practice 48 (2015), pp. 64-73
Persistent link: https://www.econbiz.de/10010508442
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Forecasting tourism demand to Catalonia : neural networks vs. time series models
Claveria, Oscar; Torra, Salvador - In: Economic modelling 36 (2014), pp. 220-228
Persistent link: https://www.econbiz.de/10010412358
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Regional Tourism Demand Forecasting with Machine Learning Models : Gaussian Process Regression vs. Neural Network Models in a Multiple-Input Multiple-Output Setting
Claveria, Oscar - 2017
This study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with respect to several neural network architectures. The MIMO setting allows...
Persistent link: https://www.econbiz.de/10012959523
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Tourism Demand Forecasting with Different Neural Networks Models
Claveria, Oscar - 2014
This paper aims to compare the performance of different Artificial Neural Networks techniques for tourist demand …
Persistent link: https://www.econbiz.de/10013045968
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A Multivariate Neural Network Approach to Tourism Demand Forecasting
Claveria, Oscar - 2014
international tourism demand to Catalonia (Spain) from 2001 to 2012. By means of cointegration analysis we find that growth rates of …This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a …
Persistent link: https://www.econbiz.de/10013045969
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International tourism demand forecasting with machine learning models : the power of the number of lagged inputs
Bi, Jian-Wu; Han, Tian-Yu; Li, Hui - In: Tourism economics : the business and finance of tourism … 28 (2022) 3, pp. 621-645
Persistent link: https://www.econbiz.de/10013267939