Selected article for: "arima model and hybrid model"
Author: Tanujit Chakraborty; Indrajit Ghosh
Title: Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
  • Document date: 2020_4_14
    • ID: ba6mdgq3_28
    Snippet: • Obtain in-sample predictions (ε t ) using the WBF model and generate required number of out-of-sample forecasts.. models the left-over autocorrelations (in this case, the oscillatory series in Figure 1 ) in the residuals which ARIMA could not model. The algorithmic presentation of the proposed hybrid model is given in Algorithm 1......
    Document: • Obtain in-sample predictions (ε t ) using the WBF model and generate required number of out-of-sample forecasts.. models the left-over autocorrelations (in this case, the oscillatory series in Figure 1 ) in the residuals which ARIMA could not model. The algorithmic presentation of the proposed hybrid model is given in Algorithm 1.

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