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A new Bayesian formulation for Holt's exponential smoothing
11 references·2 citing·36 second hop
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this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1979Forecasting: Methods and Applications.1,237 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 2006Exponential smoothing: The state of the art—Part II953 cited
  • 2004The M3 competition: Statistical tests of the results180 cited
  • 2006Chapter 1 Bayesian Forecasting122 cited
  • 2001Prediction Intervals for Time-Series Forecasting90 cited
  • 1991Exponential smoothing: The effect of initial values and loss functions on post-sample forecasting accuracy46 cited

Cited by

  • 2010Forecasting cocoa bean prices using univariate time series models31 cited
  • 2014Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting29 cited

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