Supported by the National Natural Science Foundation of China (Grant No. 10871013);the Natural Science Foundation of Beijing (Grant No. 1072004), the Natural Science Foundation of Guangxi (Grant No. 2010GXNSFB013051);the Graduate Student Foundation of Hechi University (Grant No. 2008QS-N014)
In this paper,we present a variable selection procedure by combining basis function approximations with penalized estimating equations for varying-coefficient models with missing response at random.With appropriate se...
Supported by National Natural Science Foundation of China (Grant Nos. 10571008, 10871013);Beijing Natural Science Foundation (Grant No. 1072004);Ph.D. Program Foundation of Ministry of Education of China (Grant No. 20070005003)
The inference for the parameters in a semiparametric regression model is studied by using the wavelet and the bootstrap methods. The bootstrap statistics are constructed by using Efron's resampling technique, and the...
China Postdoctoral Science Foundation Funded Project (20080430633);Shanghai Postdoctoral Scientific Program (08R214121);the National Natural Science Foundation of China (10871013);the Research Fund for the Doctoral Program of Higher Education (20070005003);the Natural Science Foundation of Beijing (1072004);the Basic Research and Frontier Technology Foundation of He'nan (072300410090)
In this paper, we consider the semiparametric regression model for longitudinal data. Due to the correlation within groups, a generalized empirical log-likelihood ratio statistic for the unknown parameters in the mode...
The first author was supported by the National Natural Science Foundation of China (Grant No. 10571008);the Natural Science Foundation of Beijing (Grant No. 1072004);the Science and Technology Development Project of Education Committee of Beijing City (Grant No. KM200510005009);The second author was supported by a grant of the Research Grant Council of Hong Kong (Grant No. HKBU7060/04P)
A partially linear model with longitudinal data is considered, empirical likelihood to infer- ence for the regression coefficients and the baseline function is investigated, the empirical log-likelihood ratios is prov...