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RANDOM COEFFICIENT MODELING RESEARCH ON SHORT-TERM FORECAST OF PASSENGER FLOW INTO AN URBAN RAIL TRANSIT STATION
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RANDOM COEFFICIENT MODELING RESEARCH ON SHORT-TERM FORECAST OF PASSENGER FLOW INTO AN URBAN RAIL TRANSIT STATION (2016)RANDOM COEFFICIENT MODELING RESEARCH ON S…Short-term forecasting of air passenger by using hybrid seasonal decomposition and least squares support vector regression approaches (2014)Short-term forecasting of air…Exploring time variants for short-term passenger flow (2010)Exploring time variants for s…Business cycles in the euro area defined with coincident economic indicators and predicted with leading economic indicators (2009)Business cycles in the euro a…Neural network based temporal feature models for short-term railway passenger demand forecasting (2008)Neural network based temporal…Why the interpretation of the Cobb-Douglas production function must be radically changed (1995)Why the interpretation of the…Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)The M3-Competition: results, conclusions and implications (2000)Principles of Forecasting (2001)Forecasting demand of commodities after natural disasters (2009)SARIMA modelling approach for railway passenger flow forecasting (2016)Passenger demand forecasting in scheduled transportation (2019)A Contribution to the Theory of Economic Growth (1956)Technical Change and the Aggregate Production Function (1957)Capital-Labor Substitution and Economic Efficiency (1961)Why do Aggregate Production Functions Work? Fisher’s simulations, Shaikh’s identity and some new results (2001)The Tyranny of the Identity: Growth Accounting Revisited (2006)How Sound are the Foundations of the Aggregate Production Function? (2013)Application of support vector machines in financial time series forecasting (2001)Analysis of the impact of high-speed railroad service on air transport demand (2005)Gravity models for airline passenger volume estimation (2007)Forecasting short-term air passenger demand using big data from search engine queries (2016)Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology (2017)Forecasting air passenger demand with a new hybrid ensemble approach (2019)Applications of Hilbert–Huang transform to non‐stationary financial time series analysis (2003)Factors influencing light-rail station boardings in the United States (2004)A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company (2014)Traveler satisfaction in rapid rail systems: The case of Istanbul metro (2017)Forecasting tourist arrivals using denoising and potential factors (2020)Comparing Predictive Accuracy (1994)Postwar U.S. Business Cycles: An Empirical Investigation (1997)Tests of Conditional Predictive Ability (2006)Predictive Ability of Business Cycle Indicators Under Test: A Case Study for the Euro Area Industrial Production (2010)Does the Euro affect the dynamic relation between stock market liquidity and the business cycle? (2015)The Composite Coincident Indicator (CCI) for Business Cycles (2018)
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References

  • 2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
  • 1995Why the interpretation of the Cobb-Douglas production function must be radically changed97 cited
  • 2014Short-term forecasting of air passenger by using hybrid seasonal decomposition and least squares support vector regression approaches96 cited
  • 2010Exploring time variants for short-term passenger flow54 cited
  • 2009Business cycles in the euro area defined with coincident economic indicators and predicted with leading economic indicators43 cited

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