Pages that link to "Item:Q1096989"
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The following pages link to Variable bandwidth kernel estimators of regression curves (Q1096989):
Displaying 50 items.
- On internally corrected and symmetrized kernel estimators for nonparametric regression (Q619168) (← links)
- Spatial local M-estimation under association (Q745418) (← links)
- Local smoothing regression with functional data (Q964614) (← links)
- On convergence rates equivalency and sampling strategies in functional deconvolution models (Q973885) (← links)
- Approximations to the mean integrated squared error with applications to optimal bandwidth selection for nonparametric regression function estimators (Q1068436) (← links)
- On the asymptotic mean square error of \(L_ 1\) kernel estimates of smooth functions (Q1099021) (← links)
- Uniform consistency of automatic and location-adaptive delta-sequence estimators (Q1102659) (← links)
- Adaptive nonparametric estimation of a multivariate regression function (Q1107923) (← links)
- Location-adaptive density estimation and nearest-neighbor distance (Q1190565) (← links)
- Local bootstrap (Q1206619) (← links)
- Error process indexed by bandwidth matrices in multivariate local linear smoothing (Q1268017) (← links)
- Nonparametric kernel regression estimation near endpoints. (Q1298705) (← links)
- Practical selection of neighbourhoods for local regression in the bivariate case (Q1315201) (← links)
- A multiplicative bias reduction method for nonparametric regression (Q1324598) (← links)
- Optimal pointwise adaptive methods in nonparametric estimation (Q1383092) (← links)
- Methodology for nonparametric regression from independent sources (Q1390964) (← links)
- Nonparametric estimation of the location of a maximum in a response surface. (Q1414612) (← links)
- Local M-estimator for nonparametric time series. (Q1423066) (← links)
- An assessment of finite sample performance of adaptive methods in density estimation (Q1606486) (← links)
- Minimax estimation via wavelet shrinkage (Q1807105) (← links)
- LOWLAD: A locally weighted \(L_ 1\) smoothing spline algorithm with cross validated choice of smoothing parameters (Q1893530) (← links)
- Nonlinear black-box models in system identification: Mathematical foundations (Q1911271) (← links)
- Improved inference in nonparametric regression using \(L_ k\)-smoothing splines (Q1918134) (← links)
- Automatic bandwidth choice and confidence intervals in nonparametric regression (Q1922372) (← links)
- Variable bandwidth and one-step local \(M\)-estimator (Q1974207) (← links)
- Adaptive risk bounds in univariate total variation denoising and trend filtering (Q2176616) (← links)
- The local linear \(M\)-estimation with missing response data (Q2336401) (← links)
- Adaptive estimation over anisotropic functional classes via oracle approach (Q2352739) (← links)
- Uniform in bandwidth consistency of kernel-type function estimators (Q2569245) (← links)
- Model robust regression: combining parametric, nonparametric, and semiparametric methods (Q2720140) (← links)
- Local Linear M-estimation in non-parametric spatial regression (Q3077650) (← links)
- Semiparametric Modeling of Labeled-Cell Kinetics, with Application to Isotope Labeling of Erythrocytes (Q3079048) (← links)
- Locally optimal adaptive smoothing splines (Q3145391) (← links)
- On the bias of variable bandwidth curve estimators (Q3359588) (← links)
- Adaptive-weighted estimation of semi-varying coefficient models with heteroscedastic errors (Q3389653) (← links)
- Efficient Threshold Selection for Multivariate Total Variation Denoising (Q3391178) (← links)
- (Q3417231) (← links)
- Optimal neighborhoods for local regression in the bivariate case (Q3432409) (← links)
- Smoothing for small samples with model misspecification: Nonparametric and semiparametric concerns (Q3591763) (← links)
- Sequential design for local bandwidth response curve estimator (Q4498171) (← links)
- An overview of model-robust regression (Q4504506) (← links)
- Model misspecification in parametric dual modeling (Q4514243) (← links)
- (Q4558531) (← links)
- Asymptotic distribution of data‐driven smoothers in density and regression estimation under dependence (Q4891289) (← links)
- Variable bandwidth kernel regression estimation (Q4990910) (← links)
- Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method (Q5077234) (← links)
- Spline confidence bands for variance functions (Q5321920) (← links)
- Relative density estimation and local bandwidth selection for censored data (Q5941337) (← links)
- Plug‐in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method (Q6063606) (← links)
- On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm (Q6167703) (← links)
