Estimation of Nonparametric Models with Censored Functional Covariates
In this paper,we study the estimation of nonparametric models in the background of censored functional covariates,and extend censored function data to complete function data by using curve exten-sion algorithm.The algorithm has good accuracy and flexibility,and avoids the problem that the censored functional data is difficult to model.The estimation of smoothing operator in the model is obtained by the kernel estimation method.The effectiveness of the proposed algorithm,as well as the influence of the censored functional data on the nonparametric model,is verified by numerical simulation.The proposed algorithm is applied to the data analysis of cirrhosis data set.
NETL
NSTL
万方数据
维普
