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A note on the identifiability of nonparametric and semiparametric mixtures of GLMs
Wang, Shaoli1,2; Yao, Weixin3; Huang, Mian1,2
刊名STATISTICS & PROBABILITY LETTERS
2014-10
卷号93页码:41-45
关键词Mixture models Identifiability GLMs Semiparametric and nonparametric models
ISSN号0167-7152
DOI10.1016/j.spl.2014.06.010
英文摘要In this article, we first propose a semiparametric mixture of generalized linear models (GLMs) and a nonparametric mixture of GLMs, and then establish identifiability results under mild conditions. (C) 2014 Elsevier B.V. All rights reserved.
WOS研究方向Mathematics
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000341479500007
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/1687]  
专题上海财经大学
通讯作者Huang, Mian
作者单位1.Shanghai Univ Finance & Econ SHUFE, Sch Stat & Management, Shanghai 200433, Peoples R China;
2.Shanghai Univ Finance & Econ SHUFE, Key Lab Math Econ SHUFE, Minist Educ, Shanghai 200433, Peoples R China;
3.Kansas State Univ, Dept Stat, Manhattan, KS 66506 USA
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Wang, Shaoli,Yao, Weixin,Huang, Mian. A note on the identifiability of nonparametric and semiparametric mixtures of GLMs[J]. STATISTICS & PROBABILITY LETTERS,2014,93:41-45.
APA Wang, Shaoli,Yao, Weixin,&Huang, Mian.(2014).A note on the identifiability of nonparametric and semiparametric mixtures of GLMs.STATISTICS & PROBABILITY LETTERS,93,41-45.
MLA Wang, Shaoli,et al."A note on the identifiability of nonparametric and semiparametric mixtures of GLMs".STATISTICS & PROBABILITY LETTERS 93(2014):41-45.
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