中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimal Weight Choice for Frequentist Model Average Estimators

文献类型:期刊论文

作者Liang, Hua1; Zou, Guohua2; Wan, Alan T. K.3; Zhang, Xinyu2
刊名JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
出版日期2011-09-01
卷号106期号:495页码:1053-1066
关键词Asymptotic optimality Finite sample properties Mallows criterion Smoothed AIC Smoothed BIC Unbiased MSE estimate
ISSN号0162-1459
DOI10.1198/jasa.2011.tm09478
英文摘要There has been increasing interest recently in model averaging within the frequentist paradigm. The main benefit of model averaging over model selection is that it incorporates rather than ignores the uncertainty inherent in the model selection process. One of the most important, yet challenging, aspects of model averaging is how to optimally combine estimates from different models. In this work, we suggest a procedure of weight choice for frequentist model average estimators that exhibits optimality properties with respect to the estimator's mean squared error (MSE). As a basis for demonstrating our idea, we consider averaging over a sequence of linear regression models. Building on this base, we develop a model weighting mechanism that involves minimizing the trace of an unbiased estimator of the model average estimator's MSE. We further obtain results that reflect the finite sample as well as asymptotic optimality of the proposed mechanism. A Monte Carlo study based on simulated and real data evaluates and compares the finite sample properties of this mechanism with those of existing methods. The extension of the proposed weight selection scheme to general likelihood models is also considered. This article has supplementary material online.
资助项目NIH/NIADID[AI59773] ; NSF[DMS 0806097] ; NSF[DMS-1007167] ; National Natural Science Foundation of China[70625004] ; National Natural Science Foundation of China[10721101] ; Hong Kong Research Grant Council[GRF 102709]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000296224200031
出版者AMER STATISTICAL ASSOC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/12022]  
专题系统科学研究所
通讯作者Liang, Hua
作者单位1.Univ Rochester, Med Ctr, Dept Biostat & Computat Biol, Rochester, NY 14642 USA
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Liang, Hua,Zou, Guohua,Wan, Alan T. K.,et al. Optimal Weight Choice for Frequentist Model Average Estimators[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2011,106(495):1053-1066.
APA Liang, Hua,Zou, Guohua,Wan, Alan T. K.,&Zhang, Xinyu.(2011).Optimal Weight Choice for Frequentist Model Average Estimators.JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,106(495),1053-1066.
MLA Liang, Hua,et al."Optimal Weight Choice for Frequentist Model Average Estimators".JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 106.495(2011):1053-1066.

入库方式: OAI收割

来源:数学与系统科学研究院

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