Knot selection for least-squares and penalized splines
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Publication:2862400
DOI10.1080/00949655.2011.647317zbMath1431.62021OpenAlexW2167897348MaRDI QIDQ2862400
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Publication date: 15 November 2013
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2011.647317
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10)
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Cites Work
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- Spline smoothing: The equivalent variable kernel method
- On knot placement for penalized spline regression
- Asymptotic integrated mean square error using least squares and bias minimizing splines
- Nonparametric regression using Bayesian variable selection
- Multivariate adaptive regression splines
- The `lethargy' theorem - a property of approximation by \(\gamma\)- polynomials
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- A simple smoothing spline, III
- Bayesian estimation of free-knot splines using reversible jumps.
- Selection of smoothing parameters in \(B\)-spline nonparametric regression models using information criteria
- A note on smoothing parameter selection for penalized spline smoothing
- Least squares approximation by splines with free knots
- Bayesian curve-fitting with free-knot splines
- Asymptotic properties of penalized spline estimators
- A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING
- On the asymptotics of penalized splines
- Hypothesis testing in b-spline regression
- Minimization by Random Search Techniques
- Approximation to Data by Splines with Free Knots
- Automatic Bayesian Curve Fitting
- Introduction to Stochastic Search and Optimization
- Semiparametric Regression
- Spline Functions in Data Analysis
- Practical Genetic Algorithms
- An algorithm for data reduction using splines with free knots
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
- Smoothing noisy data with spline functions
- A practical guide to splines.