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Autoregressive prediction with rolling mechanism for time series forecasting with small sample size

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Publication:1718683
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DOI10.1155/2014/572173zbMath1407.62332OpenAlexW2145554026WikidataQ59066121 ScholiaQ59066121MaRDI QIDQ1718683

Yongbo Zhang, Huimin Fu, Zhi Hua Wang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/572173



Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)




Cites Work

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  • Time series forecasting using a hybrid ARIMA and neural network model
  • Adaptive neural network model for time-series forecasting
  • Efficient algorithms for computing the best subset regression models for large-scale problems
  • Polarization of forecast densities: a new approach to time series classification
  • Bayesian Inference on Periodicities and Component Spectral Structure in Time Series
  • Estimating and Testing Linear Models with Multiple Structural Changes
  • Forecasting Economic Time Series
  • Priors and Component Structures in Autoregressive Time Series Models
  • A new look at the statistical model identification


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