Approximating data with weighted smoothing splines
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Publication:3509726
DOI10.1080/10485250801948625zbMath1216.62056arXiv0712.1692OpenAlexW2243020985MaRDI QIDQ3509726
Publication date: 2 July 2008
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0712.1692
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Uses Software
Cites Work
- A statistical perspective on ill-posed inverse problems (with discussion)
- A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
- Smoothing noisy data under monotonicity constraints existence, characterization and convergence rates
- Convergence rates for multivariate smoothing spline functions
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Optimal confidence bands for shape-restricted curves
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Honest confidence regions for nonparametric regression
- Local extremes, runs, strings and multiresolution. (With discussion)
- Multiscale testing of qualitative hypotheses
- Densities, spectral densities and modality.
- Bayesian curve-fitting with free-knot splines
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- The Breakdown Points of the Mean Combined with Some Rejection Rules
- Fast Computation of Fully Automated Log-Density and Log-Hazard Estimators
- Automatic Bayesian Curve Fitting
- Hybrid Adaptive Splines
- Bayesian mixture of splines for spatially adaptive nonparametric regression
- Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes
- Data features1
- Confidence bands for convex median curves using sign-tests
- Nonparametric Regression as an Example of Model Choice
- Efficient Moment Computation over Polygonal Domains with an Application to Rapid Wedgelet Approximation
- Spatially adaptive smoothing splines