References

• 1999Numerical distribution functions of likelihood ratio tests for cointegration2,028 cited
• 2007Tourism demand modelling and forecasting—A review of recent research1,448 cited
• 2003Neural network forecasting for seasonal and trend time series988 cited
• 2006Support vector regression with genetic algorithms in forecasting tourism demand383 cited
• 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting355 cited
• 2003A comparison of three different approaches to tourist arrival forecasting328 cited
• 2005Designing an artificial neural network for forecasting tourism time series286 cited
• 2008Improving artificial neural networks’ performance in seasonal time series forecasting281 cited
• 2013Forecasting tourism demand to Catalonia: Neural networks vs. time series models270 cited
• 2011Assessing the Impacts of the Global Economic Crisis and Swine Flu on Inbound Tourism Demand in the United Kingdom265 cited
• 2010SVR with hybrid chaotic genetic algorithms for tourism demand forecasting264 cited
• 2001Forecasting aggregate retail sales:258 cited
• 2003Univariate versus multivariate time series forecasting: an application to international tourism demand227 cited
• 2013Forecasting of Hong Kong airport's passenger throughput