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Number of items: 15.

Rostami-Tabar, Bahman 2021. Business forecasting in developing countries. In: Gilliland, Michael, Tashman, Len and Sglavo, Udo eds. Business forecasting : the emerging role of artificial intelligence and machine learning, Wiley and SAS Business Series,

Rostami-Tabar, Bahman, Ali, Mohammad M., Hong, Tao, Hyndman, Rob J., Porter, Michael D. and Syntetos, Aris 2021. Forecasting for social good. International Journal of Forecasting , https://doi.org/10.1016/j.ijforecast.2021.02.010. 10.1016/j.ijforecast.2021.02.010
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Rostami-Tabar, Bahman and Rendon-Sanchez, Juan F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100 , 106932. 10.1016/j.asoc.2020.106932
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Mircetic, Dejan, Rostami-Tabar, Bahman, Nikolicic, Svetlana and Maslaric, Marinko 2021. Forecasting hierarchical time series in supply chains: an empirical investigation. International Journal of Production Research 10.1080/00207543.2021.1896817
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Rostami-Tabar, Bahman and Ziel, Florian 2020. Anticipating special events in emergency department forecasting. International Journal of Forecasting 10.1016/j.ijforecast.2020.01.001
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Rostami-Tabar, Bahman, Babai, M. Zied, Ali, Mohammad and Boylan, John E. 2019. The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. European Journal of Operational Research 273 (3) , pp. 920-932. 10.1016/j.ejor.2018.09.010
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Kourentzes, Nikolaos, Rostami-Tabar, Bahman and Barrow, Devon K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels? Journal of Business Research 78 10.1016/j.jbusres.2017.04.016

Rostami-Tabar, Bahman and Disney, Stephen Michael 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
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Rostami-Tabar, Bahman and Disney, Stephen Michael 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.

Emrouznejad, Ali, Rostami-Tabar, Bahman and Petridis, Konstantinos 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111 , pp. 235-243. 10.1016/j.techfore.2016.07.004
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Rostami-Tabar, Bahman, Babai, Mohamed Zied, Ducq, Yves and Syntetos, Argyrios 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170 (Part A) , pp. 297-309. 10.1016/j.ijpe.2015.10.001
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Rostami-Tabar, Bahman, Babai, Mohamed Zied, Syntetos, Argyrios and Ducq, Yves 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61 (7) , pp. 489-500. 10.1002/nav.21598
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Rostami-Tabar, Bahman, Babai, M. Zied, Syntetos, Argyrios and Ducq, Yves 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60 (6) , pp. 479-498. 10.1002/nav.21546
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Amin-Naseri, M.R. and Rostami-Tabar, B. 2008. Neural network approach to lumpy demand forecasting for spare parts in process industries. Presented at: International Conference on Computer and Communication Engineering, 13-15 May 2008. 2008 International Conference on Computer and Communication Engineering Proceedings. IEEE, -. 10.1109/ICCCE.2008.4580831

Nasiri Pour, Ali, Rostami-Tabar, Bahman and Rahimzadeh, Ayoub 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proceedings of the World Academy of Science, Engineering and Technology 2 (4)
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This list was generated on Mon May 17 04:15:29 2021 BST.