Improved inference in nonparametric regression using \(L_ k\)-smoothing splines
From MaRDI portal
Publication:1918134
DOI10.1016/0378-3758(95)00021-6zbMath0881.62043OpenAlexW2080712783MaRDI QIDQ1918134
David M. Steinberg, Felix P. Abramovich
Publication date: 18 July 1996
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(95)00021-6
Related Items
Adaptive smoothing spline estimator for the function-on-function linear regression model, Bayesian adaptive smoothing splines using stochastic differential equations, Priors for Bayesian adaptive spline smoothing, Asymptotic optimality of a multivariate version of the generalized cross validation in adaptive smoothing splines, Function estimation with locally adaptive dynamic models, Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes, Locally optimal adaptive smoothing splines
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Linear smoothers and additive models
- On the smoothness properties of the best linear unbiased estimate of a stochastic process observed with noise
- A Bayesian approach to flexible modeling of multivariable response functions
- A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
- Variable bandwidth kernel estimators of regression curves
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Smoothing by spline functions.
- Some results on Tchebycheffian spline functions and stochastic processes
- The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
- A Bayesian approach to model inadequacy for polynomial regression
- Fitting Segmented Polynomial Regression Models Whose Join Points have to be Estimated
- Nonparametric spline regression with prior information
- SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Smoothing noisy data with spline functions