Publications

Rostami-Tabar Bahman, Ali M. Mohammad, Hong Tao, Hyndman J. Rob, Porter D. Porter, Syntetos Aris (2021). Forecasting for Social Good. Under review in the International Journal of Forecasting.

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Rostami-Tabar Bahman, Juan F. Rendon-Sanchez (2020). Forecasting COVID-19 daily cases using phone call data. Accepted for publication in Applied Soft Computing, Impact Factor: 5.472.

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Rostami-Tabar Bahman (2020). Business Forecasting in Developing Countries. Chapter in Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning, John Wiley & Sons.

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Rostami-Tabar Bahman, Ziel Florian (2020). Anticipating special events in Emergency Department forecasting. International Journal of Forecasting.

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Mircetica Dejan, Rostami-Tabar Bahman , Nikolicica Svetlana, Maslarica Marinko (2019). Grouped time series demand forecasting in supply chains. In work in progress.

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Rostami-Tabar Bahman, Ziel Florian (2019). Anticipating special events in Emergency Department forecasting. In work in progress.

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Rostami-Tabar Bahman, M. Zied Babai, Mohammad Ali, John E Boylan (2019). The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. In European Journal of Operational Research.

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Kourentzes Nikolaos, Rostami-Tabar Bahman, Barrow Devon K. (2017). Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. In Journal of Business Research.

Emrouznejad Ali, Rostami-Tabar Bahman, Petridis Konstantinos (2016). A novel ranking procedure for forecasting approaches using Data Envelopment Analysis. In Technological Forecasting & Social Change.

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Rostami-Tabar Bahman, Babai M. Zied, Syntetos Aris, Ducq Yves (2015). Non-stationary demand forecasting by cross-sectional aggregation. In International Journal of Production Economics.

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Rostami-Tabar Bahman, Babai M. Zied, Syntetos Aris, Ducq Yves (2014). A note on the forecast performance of temporal aggregation. In Naval Research Logistics.

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Rostami-Tabar Bahman, Babai M. Zied, Syntetos Aris, Ducq Yves (2013). Demand forecasting by temporal aggregation. In Naval Research Logistics.

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