Feature-based intermittent demand forecast combinations: accuracy and inventory implications-Reference-Cited by-同舟云学术

Feature-based intermittent demand forecast combinations: accuracy and inventory implications

Author:

Li Li¹^ORCID,Kang Yanfei¹^ORCID,Petropoulos Fotios²^ORCID,Li Feng³^ORCID

Affiliation:

1. School of Economics and Management, Beihang University, Beijing, People's Republic of China

2. School of Management, University of Bath, Bath, UK

3. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Beijing Universities Advanced Disciplines Initiative

Alibaba Group through the Alibaba Innovative Research Program

Beihang University

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

Reference73 articles.

Cited by 6 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

5. Forecasting Large Collections of Time Series: Feature-Based Methods;Palgrave Advances in the Economics of Innovation and Technology;2023