SEMIPARAMETRIC

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Asymptotic Inference in the Random Coefficient Autoregressive Model with Time-functional Variance Noises
《Acta Mathematicae Applicatae Sinica》2024年第2期320-346,共27页En-wen ZHU Zi-wei DENG Han-jun ZHANG Jun CAO Xiao-hui LIU 
supported by the National Natural Science Foundation of China(Grant No.52338009);the National Science Fund for Distinguished Young Scholars(Grant No.52025085);the Graduate Research Innovation Project of Hunan Province(Grant No.CX20220952);Xiaohui Liu’s research is supported by the NSF of China(Grant No.11971208);the National Social Science Foundation of China(Grant No.21&ZD152);the Outstanding Youth Fund Project of the Science and Technology Department of Jiangxi Province(Grant No.20224ACB211003);the NSF of China(Grant No.92358303).
This paper considers the random coefficient autoregressive model with time-functional variance noises,hereafter the RCA-TFV model.We first establish the consistency and asymptotic normality of the conditional least sq...
关键词：random coefficient autoregressive model time-functional variance conditional least squares semiparametric least squares 
Semiparametric Likelihood-based Inference for Censored Data with Auxiliary Information from External Massive Data Sources
《Acta Mathematicae Applicatae Sinica》2020年第3期642-656,共15页Yue-xin FANG Yong ZHOU 
supported by the State Key Program of National Natural Science Foundation of China(No.71331006);by the Graduate Innovation Foundation of Shanghai University of Finance and Economics of China(No.CXJJ-2018-408)。
Published auxiliary information can be helpful in conducting statistical inference in a new study.In this paper,we synthesize the auxiliary information with semiparametric likelihood-based inference for censoring data...
关键词：Auxiliary information Massive data Censored data Empirical likelihood Estimation equations 
On a General Class of Semiparametric Hazards Regression Models for Recurrent Gap Times被引量：1
《Acta Mathematicae Applicatae Sinica》2019年第3期549-563,共15页Qin JIANG Hui ZHAO Hong QIN 
supported by the National Natural Science Foundation of China(No.11471135,11861030);by the Natural Science Foundation of Hubei Province(No.2018CFC825);by National Statistical Scientific Research Project(No.2018LY17)
In the article,we investigate a general class of semiparametric hazards regression models for recurrent gap times.The general class includes the proportional hazards model,the accelerated failure time model and the ac...
关键词：GAP TIMES MODEL CHECKING RECURRENT events estimating equations SEMIPARAMETRIC MODEL 
Semiparametric Empirical Likelihood Estimation for Two-stage Outcome-dependent Sampling under the Frame of Generalized Linear Models被引量：2
《Acta Mathematicae Applicatae Sinica》2014年第3期663-676,共14页Jie-li DING Yan-yan LIU 
Jie-li DING is supported by the National Natural Science Foundation of China(No.11101314),Yan-yan LIU s supported by the National Natural Science Foundation of China(No.11171263,No.11371299)
Epidemiologic studies use outcome-dependent sampling （ODS） schemes where, in addition to a simple random sample, there are also a number of supplement samples that are collected based on outcome variable. ODS scheme...
关键词：biased-sampling two-stage design empirical likelihood generalized linear models large-sample properties. 
Asymptotic Properties in Semiparametric Partially Linear Regression Models for Functional Data被引量：1
《Acta Mathematicae Applicatae Sinica》2013年第3期631-644,共14页Tao ZHANG 
We consider the semiparametric partially linear regression models with mean function XTβ ＋ g（z）, where X and z are functional data. The new estimators of β and g（z） are presented and some asymptotic results are...
关键词：longitudinal data functional data semiparametric partially linear regression models asymptotic properties 
Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors
《Acta Mathematicae Applicatae Sinica》2013年第2期241-252,共12页Fei-peng ZHANG YONG ZHOU 
Natural Science Funds for Distinguished Young Scholar (No. 70825004);Creative Research Groups of China (No. 10721101);Shanghai University of Finance and Economics Project 211 Phase Ⅲ;Shanghai Leading Academic Discipline Project (No. B803);Zhou's work was supported by Graduate Creation Funds of Shanghai University of Finance and Economics(No. CXJJ-2011-436)
We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the parti...
关键词：semiparametric proportional hazards models left-truncated and right-censored data long-termsurvivors 
A Semiparametric Additive Rates Model for Clustered Recurrent Event Data被引量：1
《Acta Mathematicae Applicatae Sinica》2013年第1期55-62,共8页Sui He Fen Wang Liu-quan Sun 
supported by International Cooperation Projects (2010DFA31790) of Chinese Ministry of Science and Technology;the fund of Central China Normal University for Ph.D students (No. 2009023);supported by the National Natural Science Foundation of China Grants(No. 10731010, 10971015 and 11021161);the National Basic Research Program of China (973 Program) (No.2007CB814902);Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics& Systems Science, Chinese Academy of Sciences (No. 2008DP173182)
Recurrent event data often arises in biomedical studies, and individuals within a cluster might not be independent. We propose a semiparametric additive rates model for clustered recurrent event data, wherein the cova...
关键词：additive rates clustered failure time data estimating equation marginal model recurrentevents 
Local Influence Analysis for Semiparametric Reproductive Dispersion Nonlinear Models
《Acta Mathematicae Applicatae Sinica》2012年第1期75-90,共16页Xue-dong CHEN Nian-sheng TANG Xue-ren WANG 
Supported by the National Natural Science Foundation of China (No. 10961026, 10761011);the National Social Science Foundation of China (No. 10BTJ001)
The present paper proposes a semiparametric reproductive dispersion nonlinear model （SRDNM） which is an extension of the nonlinear reproductive dispersion models and the semiparameter regression models. Maximum pena...
关键词：local influence analysis maximum penalized likelihood estimate nonlinear reproductive dispersionmodels semiparametric regression model 
Mixtures of Semiparametric Varying Coefficient Models for Longitudinal Data with Nonignorable Dropout
《Acta Mathematicae Applicatae Sinica》2010年第1期125-132,共8页Zhi-qiang Li Liu-gen Xue 
Supported by the National Natural Science Foundation of China(No.10571008)
Informative dropout often arise in longitudinal data. In this paper we propose a mixture model in which the responses follow a semiparametric varying coefficient random effects model and some of the regression coeffic...
关键词：Nonignorable dropout  Estimating equation  Profile-kernel  Local linear estimation  Longitudinal data Semiparametric varying coefficient 
Analysis of Two-sample Censored Data Using a Semiparametric Mixture Model
《Acta Mathematicae Applicatae Sinica》2009年第3期389-398,共10页Gang Li Chien-tai Lin 
supported in part by the U.S.National Institute of Health(No.CA016042,No.P01AT003960);Chien-Tai Lin's research was supported in part by the National Science Council of Taiwan(No.89-2118-M-032-021,No.96-2628-M-032-002-MY3)
In this article we study a semiparametric mixture model for the two-sample problem with right censored data. The model implies that the densities for the continuous outcomes are related by a parametric tilt but otherw...
关键词：Biased sampling EM algorithm maximum likelihood estimation mixture model semiparametric model 
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