(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 ofâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Peter Craven
- 2010

Smoothing splines are well known to provide nice curves which smooth discrete, noisy data. We obtain a practical, effectiveâ€¦Â (More)

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2005

2005

We consider the problem of designing optimal smoothing spline curves and surfaces for a given set of discrete data. Forâ€¦Â (More)

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2005

2005

We consider a problem of designing optimal smoothing spline curves using normalized uniform B-splines as basis functionsâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Young-Ju Kim, Chong Gu
- 2004

Smoothing splines via the penalized least squares method provide versatile and effective nonparametric models for regression withâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

Smoothing Spline ANOVA Models II. Variable Selection and Model Building via Likelihood Basis Pursuit

- Hao Helen Zhang, Grace Wahba, +4 authors Barbara Klein
- 2003

We describe Likelihood Basis Pursuit, a nonparametric method for variable selection and model building, based on merging ideasâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Yi Lin, Hao Helen Zhang
- 2002

We propose a new method for model selection and model fitting in nonparametric regression models, in the framework of smoothingâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

We introduce a class of models for an additive decomposition of groups of curves strati ed by crossed and nested factorsâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- Xihong Lin, Daowen Zhang
- 1997

Generalized additive mixed models are proposed for overdispersed and correlated data, which arise frequently in studies involvingâ€¦Â (More)

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1994

1994

- Charles B. Roosen, Trevor J. Hastie
- 1994

A highly exible nonparametric regression model for predicting a response y given covariates fx k g d k=1 is the projectionâ€¦Â (More)

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1993

1993

- Grace Wahba, Chong Gu, Yuedong Wang
- 1993

We discuss a class of methods for the problem of `soft' classi cation in supervised learning. In `hard' classi cation, it isâ€¦Â (More)

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