文章基本信息

标题：Kernel regression with functional response
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作者：Frédéric Ferraty ; Ali Laksaci ; Amel Tadj 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2011
卷号：5
页码：159-171
DOI：10.1214/11-EJS600
语种：English
出版社：Institute of Mathematical Statistics
摘要：We consider kernel regression estimate when both the response variable and the explanatory one are functional. The rates of uniform almost complete convergence are stated as function of the small ball probability of the predictor and as function of the entropy of the set on which uniformity is obtained.