Accuracy and efficiency of alternative spline smoothing algorithms
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Publication:4851433
DOI10.1080/00949659308811488zbMath0925.62143OpenAlexW2010400708MaRDI QIDQ4851433
Publication date: 8 November 1999
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949659308811488
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Penalized regression with model-based penalties, A Bayesian approach to additive semiparametric regression
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Cites Work
- Unnamed Item
- Linear smoothers and additive models
- Estimation, filtering, and smoothing in state space models with incompletely specified initial conditions
- A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
- An efficient method for calculating smoothing splines using orthogonal transformations
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- A stochastic framework for recursive computation of spline functions. II: Smoothing splines
- Smoothing by spline functions.
- FILTERING AND SMOOTHING IN STATE SPACE MODELS WITH PARTIALLY DIFFUSE INITIAL CONDITIONS
- The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
- Fortran subroutines for computing smoothing and interpolating natural splines
- Algorithm 642
- A New Algorithm for Spline Smoothing Based on Smoothing a Stochastic Process
- The Nonparametric Estimation of Branching Curves
- A fast algorithm for signal extraction, influence and cross-validation in state space models
- Nonparametric spline regression with autoregressive moving average errors
- Square-root algorithms for least-squares estimation
- Smoothing noisy data with spline functions