Pages that link to "Item:Q3703175"
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The following pages link to Multivariate Smoothing Spline Functions (Q3703175):
Displaying 43 items.
- Anisotropic smoothing splines in problems with factorial design of experiments (Q492752) (← links)
- Fuzzy data approximation using smoothing cubic splines: similarity and error analysis (Q552465) (← links)
- Bivariate regression splines (Q672065) (← links)
- Application of structural risk minimization to multivariate smoothing spline regression estimates (Q701679) (← links)
- Discrete approximation by variational vector splines for noisy data (Q730877) (← links)
- Multivariate Bayesian function estimation (Q818003) (← links)
- A penalty method for nonparametric estimation of the intensity function of a counting process (Q914288) (← links)
- Establishing criteria to ensure successful feedforward artificial neural network modelling of mechanical systems (Q969828) (← links)
- A penalty method for nonparametric estimation of the logarithmic derivative of a density function (Q1066584) (← links)
- Nonparametric orthogonal series estimators of regression: A class attaining the optimal convergence rate in \(L_ 2\) (Q1083791) (← links)
- Convergence rates for multivariate smoothing spline functions (Q1103798) (← links)
- On smoothing conditions of multivariate splines (Q1128047) (← links)
- Interaction spline models and their convergence rates (Q1184209) (← links)
- Quadratic deviation of penalized mean squares regression estimates (Q1186775) (← links)
- Smoothing for multipoint boundary value models (Q1189176) (← links)
- A kernel approximation to the kriging predictor of a spatial process (Q1207613) (← links)
- Asymptotic optimality of generalized cross-validation for choosing the regularization parameter (Q1326436) (← links)
- Almost sure convergence of smoothing \(D^ m\)-splines of noisy data (Q1326492) (← links)
- Piecewise convex function estimation: Pilot estimators (Q1383095) (← links)
- Approximation properties of local bases assembled from neural network transfer functions (Q1596850) (← links)
- Modeling spatially dependent functional data via regression with differential regularization (Q1733289) (← links)
- Performance criteria and discrimination of extreme undersmoothing in nonparametric regression (Q2250696) (← links)
- Penalized spline estimation in the partially linear model (Q2374410) (← links)
- An extension of a bound for functions in Sobolev spaces, with applications to \((m, s)\)-spline interpolation and smoothing (Q2454709) (← links)
- Approximation by smoothing variational vector splines for noisy data (Q2475390) (← links)
- Equivalent kernels for smoothing splines (Q2476445) (← links)
- Nonparametric regression with additional measurement errors in the dependent variable (Q2499087) (← links)
- Getting better contour plots with S and GCVPACK (Q2563656) (← links)
- Approximate interpolation with applications to selecting smoothing parameters (Q2574177) (← links)
- Smoothing splines with varying smoothing parameter (Q2870258) (← links)
- Performance of robust GCV and modified GCV for spline smoothing (Q2911706) (← links)
- Refinable Multivariate Spline Functions (Q3075347) (← links)
- Some Numerical Test on the Convergence Rates of Regression with Differential Regularization (Q3300621) (← links)
- Polynomial splines and nonparametric regression (Q3432300) (← links)
- (Q3743769) (← links)
- Convergence Rates for Regularized Solutions (Q3793145) (← links)
- Curve mesh fairing and $GC^2$ surface interpolation (Q3989246) (← links)
- Smoothing spline growth curves with covariates (Q4275716) (← links)
- Non-parametric identification with errors in independent variables (Q4311245) (← links)
- Non-parametric identification with errors in independent variables (Q4763810) (← links)
- Some first results on the consistency of spatial regression with partial differential equation regularization (Q5037824) (← links)
- (Q5405236) (← links)
- Adaptive estimation of external fields in reproducing kernel Hilbert spaces (Q6496651) (← links)
