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Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting
16 references·0 citing·46 second hop
Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting (2018)Particle Swarm Optimization-Based Support…Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model (2018)Modeling and Forecasting Regi…Has the tourism-led growth hypothesis been validated? A literature review (2014)Has the tourism-led growth hy…SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)SVR with hybrid chaotic genet…Tourism expansion, tourism uncertainty and economic growth: New evidence from Taiwan and Korea (2009)Tourism expansion, tourism un…Time series forecasting by a seasonal support vector regression model (2009)Time series forecasting by a …Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model (2006)Tourism Demand Forecasting: A…Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…International versus Domestic Visitors: An Examination of Destination Image Perceptions (2005)International versus Domestic…Forecasting international tourist flows to Macau (2005)Forecasting international tou…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Predicting tourism demand using fuzzy time series and hybrid grey theory (2003)Predicting tourism demand usi…Time series forecasts of international travel demand for Australia (2002)Time series forecasts of inte…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Macroeconomics and Reality (1980)Statistical analysis of cointegration vectors (1988)Review of international tourism demand models (1997)Do Political Instability, Terrorism, and Corruption Have Deterring Effects on Tourism Development Even in the Presence of Unesco Heritage? A Cross-Country Panel Estimate (2013)A mobilities approach to tourism from emerging world regions (2014)Remodeling international tourism demand: Old theory and new evidence (2016)Time Series Analysis, Forecasting and Control. (1971)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)Applied Economic Forecasting (1967)Seasonal integration and cointegration (1990)Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis (2005)Seasonality research: the state of the art (2005)Forecasting tourism recovery amid COVID-19 (2021)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)Tourism and economic development: The beach disease? (2010)How strong is the linkage between tourism and economic growth in Europe? 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Theory and empirical evidence (2017)Tourism and its economic impact: A literature review using bibliometric tools (2018)The relationship between tourism and economic growth among BRICS countries: a panel cointegration analysis (2021)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting methods and applications (1993)The M3-Competition: results, conclusions and implications (2000)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 2014Has the tourism-led growth hypothesis been validated? A literature review609 cited
  • 2006Support vector regression with genetic algorithms in forecasting tourism demand378 cited
  • 2009Tourism expansion, tourism uncertainty and economic growth: New evidence from Taiwan and Korea294 cited
  • 2002Time series forecasts of international travel demand for Australia279 cited
  • 2005Forecasting international tourist flows to Macau273 cited
  • 2010SVR with hybrid chaotic genetic algorithms for tourism demand forecasting264 cited
  • 2005International versus Domestic Visitors: An Examination of Destination Image Perceptions223 cited
  • 2003Predicting tourism demand using fuzzy time series and hybrid grey theory201 cited
  • 2006Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model186 cited

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2018
Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model
147 cited
  • 2009Time series forecasting by a seasonal support vector regression model125 cited
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