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Bahman Rostami-Tabar
Bahman Rostami-Tabar
Associate Professor (Reader), Cardiff University
Verified email at cardiff.ac.uk
Title
Cited by
Cited by
Year
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting 38 (3), 705-871, 2022
4002022
Demand forecasting by temporal aggregation
B Rostami‐Tabar, MZ Babai, A Syntetos, Y Ducq
Naval Research Logistics (NRL) 60 (6), 479-498, 2013
932013
Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?
N Kourentzes, B Rostami-Tabar, DK Barrow
Journal of Business Research 78, 1-9, 2017
592017
Neural network approach to lumpy demand forecasting for spare parts in process industries
MR Amin-Naseri, BR Tabar
2008 International Conference on Computer and Communication Engineeringá…, 2008
432008
Non-stationary demand forecasting by cross-sectional aggregation
B Rostami-Tabar, MZ Babai, Y Ducq, A Syntetos
International Journal of Production Economics 170, 297-309, 2015
412015
Forecasting COVID-19 daily cases using phone call data
B Rostami-Tabar, JF Rendon-Sanchez
Applied soft computing 100, 106932, 2021
402021
A novel ranking procedure for forecasting approaches using Data Envelopment Analysis
A Emrouznejad, B Rostami-Tabar, K Petridis
Technological Forecasting and Social Change 111, 235-243, 2016
392016
A hybrid neural network and traditional approach for forecasting lumpy demand
A Nasiri Pour, B Rostami-Tabar, A Rahimzadeh
Proceedings of the World Academy of Science, Engineering and Technology 2 (4), 2008
342008
A note on the forecast performance of temporal aggregation
ASYD Bahman Rostami-Tabar, Mohamed Zied Babai
Naval Research Logistics (NRL), 2014
282014
Forecasting hierarchical time series in supply chains: an empirical investigation
D Mircetic, B Rostami-Tabar, S Nikolicic, M Maslaric
International Journal of Production Research 60 (8), 2514-2533, 2022
242022
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches
MZ Babai, JE Boylan, B Rostami-Tabar
International Journal of Production Research 60 (1), 324-348, 2022
242022
The impact of temporal aggregation on supply chains with ARMA (1, 1) demand processes
B Rostami-Tabar, MZ Babai, M Ali, JE Boylan
European Journal of Operational Research 273 (3), 920-932, 2019
232019
Anticipating special events in emergency department forecasting
B Rostami-Tabar, F Ziel
International Journal of Forecasting 38 (3), 1197-1213, 2022
202022
Forecasting for social good
B Rostami-Tabar, MM Ali, T Hong, RJ Hyndman, MD Porter, A Syntetos
International Journal of Forecasting 38 (3), 1245-1257, 2022
92022
To aggregate or not to aggregate: Forecasting of finite autocorrelated demand
B Rostami-Tabar, MZ Babai, A Syntetos
Journal of the Operational Research Society 74 (8), 1840-1859, 2023
62023
ARIMA demand forecasting by aggregation
BR Tabar
UniversitÚ Sciences et Technologies-Bordeaux I, 2013
5*2013
Forecasting aggregate ARMA (1, 1) demands: Theoretical analysis of top-down versus bottom-up
B Rostami-Tabar, MZ Babai, AA Syntetos, Y Ducq
Proceedings of 2013 International Conference on Industrial Engineering andá…, 2013
42013
Integrated demand forecasting and planning model for repairable spare part: an empirical investigation
V Babaveisi, E Teimoury, MR Gholamian, B Rostami-Tabar
International Journal of Production Research 61 (20), 6791-6807, 2023
32023
Demand forecasting for executives and professionals
S Kolassa, B Rostami-Tabar, E Siemsen
CRC Press, 2023
32023
Probabilistic forecasting of hourly emergency department arrivals
B Rostami-Tabar, J Browell, I Svetunkov
Health Systems, 1-17, 2023
32023
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