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Asymptotic properties and information criteria for misspecified generalized linear mixed models
Yu, Dalei1; Zhang, Xinyu2; Yau, Kelvin K. W.3
2018-09-01
发表期刊JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
ISSN1369-7412
卷号80期号:4页码:817-836
摘要The problem of misspecification poses challenges in model selection. The paper studies the asymptotic properties of estimators for generalized linear mixed models with misspecification under the framework of conditional Kullback-Leibler divergence. A conditional generalized information criterion is introduced, and a model selection procedure is proposed by minimizing the criterion. We prove that the model selection procedure proposed is asymptotically loss efficient when all the candidate models are misspecified. The model selection consistency of the model selection procedure is also established when the true data-generating procedure lies within the set of candidate models. Simulation experiments confirm the effectiveness of the method proposed. The use of the criterion for model selection is illustrated through an analysis of the European Currency Opinion Survey data.
关键词Asymptotic loss efficiency Conditional inference Misspecified generalized linear mixed model Model selection Penalized likelihood
DOI10.1111/rssb.12270
语种英语
资助项目National Natural Science Foundation of China[11661079] ; National Natural Science Foundation of China[11301463] ; National Natural Science Foundation of China[11361071] ; National Natural Science Foundation of China[71522004] ; National Natural Science Foundation of China[11471324] ; National Natural Science Foundation of China[71631008] ; Research Grants Council of Hong Kong[T32-102/14N]
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000442217900010
出版者WILEY
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/31129
专题系统科学研究所
通讯作者Zhang, Xinyu
作者单位1.Yunnan Univ Finance & Econ, Kunming, Yunnan, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
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Yu, Dalei,Zhang, Xinyu,Yau, Kelvin K. W.. Asymptotic properties and information criteria for misspecified generalized linear mixed models[J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY,2018,80(4):817-836.
APA Yu, Dalei,Zhang, Xinyu,&Yau, Kelvin K. W..(2018).Asymptotic properties and information criteria for misspecified generalized linear mixed models.JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY,80(4),817-836.
MLA Yu, Dalei,et al."Asymptotic properties and information criteria for misspecified generalized linear mixed models".JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 80.4(2018):817-836.
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