- 1-a Bayesian Time-series Model for Short-term Traffic Flow Forecasting

  title={- 1-a Bayesian Time-series Model for Short-term Traffic Flow Forecasting},
  author={Bidisha Ghosh and Biswajit Basu and M. Sinead O’Mahony},
The Seasonal Autoregressive Integrated Moving Average (SARIMA) model is one of the popular univariate time-series models in the field of short-term traffic flow forecasting. The parameters of the SARIMA model are commonly estimated using classical (maximum likelihood estimate and/or least square estimate) methods. In this paper, instead of using classical inference the Bayesian method is employed to estimate the parameters of the SARIMA model considered for modelling. In Bayesian analysis… CONTINUE READING
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