Local estimation for longitudinal semiparametric varying-coefficient partially linear model

摘要：

　　In this paper, estimation for the semiparametric varying coefficient partially linear model with longitudinal data is investigated.We propose an intuitive procedure to estimate the regression function and the covariance structure simultaneously based on the modified Cholesky decomposition and profile least square technique.The proposed method is applied to analyze a set of chronic kidney disease (CKD) progression data in a study of the relationship between glomerular filtration rate (GFR) and the risk factors among CKD patients.

关键词： Longitudinal data Semiparametric varying coefficient partially linear model Cholesky decomposition Profile least square estimate

作者: Liu Yanghui

作者单位: East China Normal University, Shanghai, 200062, China

会议类型: 国内会议

会议名称: 2016年上海市研究生学术论坛——电子科学与技术

会议地点: 上海

会议语种:英文

页码: 135-137

在线出版日期: 2016-04-01（万方平台首次上网日期，不代表论文的发表时间）