Smoothing spline Gaussian regression: more scalable computation via efficient approximation
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Summary
A simple modification of the generalized cross-validation method for smoothing parameter selection is evaluated, which to a large extent fixes the occasional undersmoothing problem that is suffered by generalized cross‐validation.
- Type
- article
- Published
- 2004-05-01
- Cited by
- 323
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W2169886352
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:41334749
Keywords
Smoothing spline, Smoothing, Computation, Nonparametric regression, Mathematical optimization
References
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- Smoothing Spline Anova Models
- Numerical methods for unconstrained optimization and nonlinear equations
- The computation of generalized cross-validation functions through householder tridiagonalization with applications to the fitting of interaction spline models
- CBMS-NSF REGIONAL CONFERENCE SERIES IN APPLIED MATHEMATICS
- Gentleman R: R: A language for data analysis and graphics
- Smoothing Spline ANOVA with Component-Wise Bayesian “Confidence Intervals”
- Penalized likelihood regression: General formulation and efficient approximation
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Some results on Tchebycheffian spline functions
- Spline Interpolation and Smoothing on the Sphere
- Estimating Optimal Transformations for Multiple Regression and Correlation.
- Asymptotic optimality of CL and generalized cross-validation in ridge regression with application to spline smoothing
- Bayesian Confidence Intervals for Smoothing Splines
- A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem
- Nonparametric regression and generalized linear models
- Hybrid Adaptive Splines
- Linear Statistical Inference and Its Applications
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- Using blue whale (Balaenoptera musculus) photographic-identification sightings to assess potential vessel-whale encounters in the Santa Barbara Channel
- Bayesian Confidence Intervals in Penalized Likelihood Regression
- Functional linear models to test for differences in prairie wetland hydraulic gradients
- Computation and Smoothing Parameter Selection In Penalized Likelihood Regression
- Regularization techniques based on Krylov subspace methods for ill-posed linear systems
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- Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach
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- Multispectral Image Out-of-Focus Deblurring Using Interchannel Correlation
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