functionalsingularcomponentanalysisbasedfunctionaladditivemodels

CSpace > 应用数学研究所

	functionalsingularcomponentanalysisbasedfunctionaladditivemodels
	Zhang Tao 1; Wang Qihua2
	2016
发表期刊	sciencechinamathematics
ISSN	1674-7283
卷号	59 期号:12 页码:2443
摘要	We propose a method which uses functional singular component to establish functional additive models. The proposed methodology reduces the curve regression problem to ordinary (i.e., scalar) additive regression problems of the singular components of the predictor process and response process. Consistency of estimators for the nonparametric function and prediction are proved, respectively. A simulation study is conducted to investigate the finite sample performances of the proposed estimators.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/40886
专题	应用数学研究所
作者单位	1.广西科技大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Zhang Tao,Wang Qihua. functionalsingularcomponentanalysisbasedfunctionaladditivemodels[J]. sciencechinamathematics,2016,59(12):2443.
APA	Zhang Tao,&Wang Qihua.(2016).functionalsingularcomponentanalysisbasedfunctionaladditivemodels.sciencechinamathematics,59(12),2443.
MLA	Zhang Tao,et al."functionalsingularcomponentanalysisbasedfunctionaladditivemodels".sciencechinamathematics 59.12(2016):2443.