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A model updating strategy for predicting time series with seasonal patterns
12 references·0 citing·37 second hop
A model updating strategy for predicting time series with seasonal patterns (2009)A model updating strategy for predicting …Model optimizing and feature selecting for support vector regression in time series forecasting (2008)Model optimizing and feature …A Fast Grid Search Method in Support Vector Regression Forecasting Time Series (2006)A Fast Grid Search Method in …Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Encyclopedia of Data Warehousing and Mining (2005)Encyclopedia of Data Warehous…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes (2000)Efficient Supply Contracts fo…Time series forecasting using neural networks: should the data be deseasonalized first? (1999)Time series forecasting using…Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Time Series Forecasting with …Generalising about univariate forecasting methods: further empirical evidence (1998)Generalising about univariate…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Time Series Analysis: Forecasting and Control. (1978)Forecasting methods and applications (1993)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)Machine learning demand forecasting and supply chain performance (2020)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting the behavior of multivariate time series using neural networks (1992)Neural Network Forecasting of Tourism Demand (2005)Predicting stock index increments by neural networks: The role of trading volume under different horizons (2007)Quarterly Time-Series Forecasting With Neural Networks (2007)Combining forecasts: A review and annotated bibliography (1990)Telecommunications demand forecasting—a review (2002)Forecasting daily supermarket sales using exponentially weighted quantile regression (2006)A brief history of forecasting competitions (2019)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Time Series Analysis Forecasting and Control. (1971)Improving artificial neural networks’ performance in seasonal time series forecasting (2008)Managing Channel Profits (1983)Quantitative Models for Supply Chain Management (1999)Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain (2001)Closed-Loop Supply Chain Models with Product Remanufacturing (2004)Perspectives in supply chain risk management (2006)Reverse Channel Design: The Case of Competing Retailers (2006)The Combination of Forecasts (1969)Exponential smoothing: The state of the art (1985)A knowledge management approach to data mining process for business intelligence (2008)Dealing with construction cost overruns using data mining (2014)Business Analytics in Telemarketing: Cost-Sensitive Analysis of Bank Campaigns Using Artificial Neural Networks (2020)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 2000Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes517 cited
  • 1998Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data419 cited
  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 1999Time series forecasting using neural networks: should the data be deseasonalized first?175 cited
  • 1998Generalising about univariate forecasting methods: further empirical evidence151 cited
  • 2005Encyclopedia of Data Warehousing and Mining126 cited
  • 2008Model optimizing and feature selecting for support vector regression in time series forecasting97 cited
  • 2006A Fast Grid Search Method in Support Vector Regression Forecasting Time Series89 cited

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