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Smoothing spline
Known as:
Regression spline
, Smoothing splines
, Spline regression
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(For a broader coverage related to this topic, see Spline (mathematics).) The smoothing spline is a method of fitting a smooth curve to a set of…
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Related topics
19 relations
AdaBoost
Animation:Master
Backfitting algorithm
Curve fitting
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Computational Limits of A Distributed Algorithm for Smoothing Spline
Zuofeng Shang
,
Guang Cheng
Journal of machine learning research
2015
Corpus ID: 31160907
In this paper, we explore statistical versus computational trade-off to address a basic question in the application of a…
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Highly Cited
2014
Highly Cited
2014
Smoothing Spline ANOVA Models: R Package gss
Chong Gu
2014
Corpus ID: 61139441
This document provides a brief introduction to the R package gss for nonparametric statistical modeling in a variety of problem…
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Highly Cited
2014
Highly Cited
2014
Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
Shahab Shokrzadeh
,
M. J. Jozani
,
E. Bibeau
IEEE Transactions on Sustainable Energy
2014
Corpus ID: 25790075
Wind turbine power curve modeling is an important tool in turbine performance monitoring and power forecasting. There are several…
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Highly Cited
2008
Highly Cited
2008
ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES
M. Wand
,
J. Ormerod
2008
Corpus ID: 120675062
An exposition on the use of O'Sullivan penalized splines in contemporary semiparametric regression, including mixed model and…
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Highly Cited
2008
Highly Cited
2008
Supermarket Pricing Strategies
Paul B. Ellickson
,
S. Misra
Marketing science (Providence, R.I.)
2008
Corpus ID: 10779163
Most supermarket firms choose to position themselves by offering either everyday low prices (EDLP) across several items or…
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Highly Cited
2007
Highly Cited
2007
Some asymptotic results on generalized penalized spline smoothing
G. Kauermann
,
Tatyana Krivobokova
,
L. Fahrmeir
2007
Corpus ID: 2610190
Summary. The paper discusses asymptotic properties of penalized spline smoothing if the spline basis increases with the sample…
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Highly Cited
2003
Highly Cited
2003
Fully Bayesian spline smoothing and intrinsic autoregressive priors
P. Speckman
,
Dongchu Sun
2003
Corpus ID: 17034972
There is a well-known Bayesian interpretation for function estimation by spline smoothing using a limit of proper normal priors…
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Highly Cited
1999
Highly Cited
1999
The analysis of designed experiments and longitudinal data by using smoothing splines - Discussion
R. Kempton
,
R. Mead
,
+11 authors
T. Pettitt
1999
Corpus ID: 14741533
In designed experiments and in particular longitudinal studies, the aim may be to assess the effect of a quantitative variable…
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Highly Cited
1998
Highly Cited
1998
Smoothing Spline Models with Correlated Random Errors
Yuedong Wang
1998
Corpus ID: 123340351
Abstract Spline-smoothing techniques are commonly used to estimate the mean function in a nonparametric regression model. Their…
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Highly Cited
1998
Highly Cited
1998
Monotone B-Spline Smoothing
Xuming He
,
P. Shi
1998
Corpus ID: 16571407
Abstract Estimation of growth curves or item response curves often involves monotone data smoothing. Methods that have been…
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