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Semiparametric hidden Markov model with non-parametric regression
Huang, Mian1; Ji, Qinghua1; Yao, Weixin2
刊名COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
2018
卷号47期号:21页码:5196-5204
关键词EM algorithm forward-backward algorithm hidden Markov model regression kernel regression
ISSN号0361-0926
DOI10.1080/03610926.2017.1388398
英文摘要The hidden Markov model regression (HMMR) has been popularly used in many fields such as gene expression and activity recognition. However, the traditional HMMR requires the strong linearity assumption for the emission model. In this article, we propose a hidden Markov model with non-parametric regression (HMM-NR), where the mean and variance of emission model are unknown smooth functions. The new semiparametric model might greatly reduce the modeling bias and thus enhance the applicability of the traditional hidden Markov model regression. We propose an estimation procedure for the transition probability matrix and the non-parametric mean and variance functions by combining the ideas of the EM algorithm and the kernel regression. Simulation studies and a real data set application are used to demonstrate the effectiveness of the new estimation procedure.
WOS研究方向Mathematics
语种英语
出版者TAYLOR & FRANCIS INC
WOS记录号WOS:000441632900003
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/746]  
专题上海财经大学
通讯作者Yao, Weixin
作者单位1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China;
2.Univ Calif Riverside, Dept Stat, Riverside, CA 92521 USA
推荐引用方式
GB/T 7714
Huang, Mian,Ji, Qinghua,Yao, Weixin. Semiparametric hidden Markov model with non-parametric regression[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2018,47(21):5196-5204.
APA Huang, Mian,Ji, Qinghua,&Yao, Weixin.(2018).Semiparametric hidden Markov model with non-parametric regression.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,47(21),5196-5204.
MLA Huang, Mian,et al."Semiparametric hidden Markov model with non-parametric regression".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 47.21(2018):5196-5204.
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