A hybrid approach with step‐size aggregation to forecasting hierarchical time series-Reference-Cited by-同舟云学术

A hybrid approach with step‐size aggregation to forecasting hierarchical time series

Published:2022-07-29 Issue:1 Volume:42 Page:176-192
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Rehman Hakeem‐Ur¹^ORCID,Wan Guohua²^ORCID,Rafique Raza³^ORCID

Affiliation:

1. Institute of Quality and Technology Management University of the Punjab Lahore Pakistan

2. Data‐Driven Management Decision Making Lab, Antai College of Economics and Management Shanghai Jiao Tong University Shanghai China

3. School of Management and Marketing Kean University Union New Jersey USA

Funder

National Natural Science Foundation of China

Program of Shanghai Subject Chief Scientist

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2895

Reference50 articles.

1. On reconciling macro and micro energy transport forecasts for strategic decision making in the tanker industry

2. Hierarchical forecasts for Australian domestic tourism

3. Forecasting with temporal hierarchies

4. The Combination of Forecasts

5. Ben Taieb S. Taylor J. W. &Hyndman R. J.(2017).Coherent probabilistic forecasts for hierarchical time series. Proceedings of the 34th International Conference on Machine Learning 70(April) 3348–3357.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecast reconciliation: A review;International Journal of Forecasting;2023-12