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Improved tourism demand forecasting with CIR# model: a case study of disrupted data patterns in Italy
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References

  • 1985A Theory of the Term Structure of Interest Rates8,333 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,149 cited
  • 2004Forecasting seasonals and trends by exponentially weighted moving averages1,786 cited
  • 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting526 cited
  • 2019Tourism demand forecasting: A deep learning approach451 cited
  • 1978The Holt-Winters Forecasting Procedure423 cited
  • 2017An empirical analysis of the influence of macroeconomic determinants on World tourism demand241 cited
  • 2004Modelling multivariate international tourism demand and volatility216 cited
  • 2013Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts193 cited
  • 2014Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data165 cited
  • 2016Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data139 cited
  • 2018Forecasting tourism demand with denoised neural networks133 cited
  • 2015A panel data analysis of the effect of corruption on tourism103 cited
  • 2020A decomposition-ensemble approach for tourism forecasting99 cited

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  • 2019Cross-temporal coherent forecasts for Australian tourism93 cited
  • 2008Combining volatility and smoothing forecasts of UK demand for international tourism93 cited
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