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A roughness-penalty view of kernel smoothing
Li-Shan Huang
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Statistics and Probability Letters, Vol.52(1), pp.85-89
15/03/2001
DOI:
https://doi.org/10.1016/S0167-7152(00)00227-3
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Abstract
Local polynomial fitting
Nonparametric regression
Smoothing spline
It has been shown that a smoothing spline estimate is an equivalent kernel estimate. In this paper, we show that both the Nadaraya-Watson and local linear kernel estimators are equivalent penalized estimators. © 2001 Elsevier Science B.V.
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Title
A roughness-penalty view of kernel smoothing
Creators - without role
Li-Shan Huang - University of Rochester Medical Center
Publication Details
Statistics and Probability Letters, Vol.52(1), pp.85-89
Identifiers
9957767010206774
Academic Unit
Institute of Statistics and Data Science, College of Science, National Tsing Hua University
Language
English
Resource Type
Journal article
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