Forecasting with model selection or model averaging: a case study for monthly container port throughput
Gao, Yan1,2; Luo, Meifeng3; Zou, Guohua2
刊名TRANSPORTMETRICA A-TRANSPORT SCIENCE
2016-04-20
卷号12期号:4页码:366-384
关键词Model combination model selection time series forecast structural change VAR model container throughput
ISSN号2324-9935
DOI10.1080/23249935.2015.1137652
英文摘要An accurate short-term prediction of time series data is critical to operational decision-making. While most forecasts are made based on one selected model according to certain criteria, there are developments that harness the advantages of different models by combining them together in the prediction process. Following on from existing work, this paper applies six model selection criteria and six model averaging (MA) criteria to a structural change vector Autoregressive model, and compares them in terms of both the theoretical background and empirical results. A case study of the monthly container port throughput forecasting for two competing ports shows that, in general, the model averaging methods perform better than the model selection methods. In particular, the leave-subject-out cross-validation MA method is the best in the sense of achieving the lowest average of mean-squared forecast errors.
资助项目Dean's Reserve of Faculty of Business ; Hong Kong Polytechnic University[1-ZVBS] ; RGC general research fund [RGC/Gov][PolyU 5463/12H] ; National Natural Science Foundation of China[11331011] ; National Natural Science Foundation of China[11271355]
WOS研究方向Transportation
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000371244700005
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/22132]  
专题中国科学院数学与系统科学研究院
通讯作者Luo, Meifeng
作者单位1.Minzu Univ China, Sch Sci, Dept Stat, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Gao, Yan,Luo, Meifeng,Zou, Guohua. Forecasting with model selection or model averaging: a case study for monthly container port throughput[J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE,2016,12(4):366-384.
APA Gao, Yan,Luo, Meifeng,&Zou, Guohua.(2016).Forecasting with model selection or model averaging: a case study for monthly container port throughput.TRANSPORTMETRICA A-TRANSPORT SCIENCE,12(4),366-384.
MLA Gao, Yan,et al."Forecasting with model selection or model averaging: a case study for monthly container port throughput".TRANSPORTMETRICA A-TRANSPORT SCIENCE 12.4(2016):366-384.
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