Efficient estimation of the nonparametric mean and covariance functions for longitudinal and sparse functional data-林华珍 (西南财经大学)

主  题: Efficient estimation of the nonparametric mean and covariance functions for longitudinal and sparse functional data

内容简介: We consider the estimation of mean and covariance functions for longitudinal and sparse functional databy  using the full quasi-likelihood coupling a modification ofthe local kernel smoothing method. The proposed estimators areshown to be consistent, asymptotically normal, andsemiparametrically efficient in terms of their linearfunctionals. Their superiority to the competitors is furtherillustrated numerically through simulation studies. The method isapplied to analyze  AIDS study and atmospheric study.

报告人: 林华珍      教授   博导       国家杰青

时  间: 2017-12-04    10:30

地  点: 竞慧东楼302

举办单位: 理学院  统计科学与大数据研究院  科研部