The Impact of Temporal Aggregation on Demand Forecasting of ARMA(1, 1) Process: Theoretical Analysis. - Bahman Rostami Tabar; M. Zied Babai; Aris A. Syntetos; Yves Ducq (MIM, 2013)

The impact of temporal aggregation on supply chains with ARMA(1, 1) demand processes. - Bahman Rostami Tabar; M. Zied Babai; Mohammad Ali 001; John E. Boylan (Eur. J. Oper. Res., 2019)

Forecasting for Social Good. - Bahman Rostami Tabar; Mohammad M. Ali; Tao Hong; Rob J. Hyndman; Michael D. Porter; Aris A. Syntetos (CoRR, 2020)

Forecasting COVID-19 daily cases using phone call data. - Bahman Rostami Tabar; Juan F. Rendon-Sanchez (Appl. Soft Comput., 2021)

Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. - M. Zied Babai; John E. Boylan; Bahman Rostami Tabar (Int. J. Prod. Res., 2022)

Forecasting hierarchical time series in supply chains: an empirical investigation. - Dejan Mircetic; Bahman Rostami Tabar; Svetlana Nikolicic; Marinko Maslaric (Int. J. Prod. Res., 2022)

Forecasting for lead-time period by temporal aggregation: Whether to combine and how. - Bahman Rostami Tabar; Thanos E. Goltsos; Shixuan Wang (Comput. Ind., 2023)

Exploring the association between time series features and forecasting by temporal aggregation using machine learning. - Bahman Rostami Tabar; Dejan Mircetic (Neurocomputing, 2023)

The value of point of sales information in upstream supply chain forecasting: an empirical investigation. - Mahdi Abolghasemi; Bahman Rostami Tabar; Aris A. Syntetos (Int. J. Prod. Res., 2023)

To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. - Bahman Rostami Tabar; M. Zied Babai; Aris A. Syntetos (J. Oper. Res. Soc., 2023)

Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. - Vahid Babaveisi; Ebrahim Teimoury; Mohammad Reza Gholamian; Bahman Rostami Tabar (Int. J. Prod. Res., 2023)

Challenging the throwaway culture in hospitals: Scheduling the mix of reusable and Single-Use bronchoscopes. - Daniel Gartner; Joe Viana; Bahman Rostami Tabar; Dominik Pförringer; Günther Edenharter (J. Oper. Res. Soc., 2023)

A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. - Marwa Hasni; M. Zied Babai; Bahman Rostami Tabar (Int. J. Prod. Res., 2024)

Patient length of stay in trauma networks: Insights from advanced modelling. - Zihao Wang; Bahman Rostami Tabar; Jane Haider; Javvad Haider; Mohamed M. Naim (Expert Syst. Appl., 2025)

A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions. - Harsha Chamara Hewage; Bahman Rostami Tabar; Aris A. Syntetos; Federico Liberatore; Glenn Milano (CoRR, 2025)

Forecasting interrupted time series. - Rob J. Hyndman; Bahman Rostami Tabar (J. Oper. Res. Soc., 2025)