Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression

标题
Moments, errors, asymptotic normality and large deviation principle in nonparametric functional regression
作者
关键词
Nonparametric regression, Functional regression, Scalar-on-function regression, Nadaraya–Watson estimator, Semi-metric
出版物
STATISTICS & PROBABILITY LETTERS
Volume 107, Issue -, Pages 369-377
出版商
Elsevier BV
发表日期
2015-09-22
DOI
10.1016/j.spl.2015.09.015

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