Pages that link to "Item:Q3497045"

The following pages link to On variance estimation in nonparametric regression (Q3497045):

Displaying 50 items.

• A simple bootstrap method for constructing nonparametric confidence bands for functions (Q385770) (← links)
• \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing (Q442091) (← links)
• Difference-based variance estimation in nonparametric regression with repeated measurement data (Q496469) (← links)
• A smooth simultaneous confidence band for conditional variance function (Q497866) (← links)
• Partial sum process to check regression models with multiple correlated response: with an application for testing a change-point in profile data (Q618153) (← links)
• On completely data-driven bandwidth selection for single-index models (Q629097) (← links)
• Variance estimation for high-dimensional regression models (Q697472) (← links)
• Automatic and asymptotically optimal data sharpening for nonparametric regression (Q730822) (← links)
• On the estimation of a monotone conditional variance in nonparametric regression (Q734411) (← links)
• An evaluation of non-parametric relative risk estimators for disease maps (Q956989) (← links)
• Variance function estimation in multivariate nonparametric regression with fixed design (Q958912) (← links)
• Bandwidth selection for a data sharpening estimator in nonparametric regression (Q1021846) (← links)
• Residuals density estimation in nonparametric regression (Q1198997) (← links)
• Nonparametric comparison of several regression functions: Exact and asymptotic theory (Q1307102) (← links)
• On residual sums of squares in non-parametric autoregression (Q1313134) (← links)
• Curve estimation when the design density is low (Q1359422) (← links)
• On identity reproducing nonparametric regression estimators (Q1359803) (← links)
• Estimating linear functionals of the error distribution in nonparametric regression (Q1417795) (← links)
• A note on the nonparametric least-squares test for checking a polynomial relationship (Q1432870) (← links)
• A consistent test for the functional form of a regression based on a difference of variance estimators (Q1568309) (← links)
• Variance estimation for semiparametric regression models by local averaging (Q1616704) (← links)
• Asymptotically optimal differenced estimators of error variance in nonparametric regression (Q1658531) (← links)
• Heteroscedasticity testing for regression models: a dimension reduction-based model adaptive approach (Q1659003) (← links)
• On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression (Q1750258) (← links)
• Functional convergence and optimality of plug-in estimators for stationary densities of moving average processes (Q1769788) (← links)
• Validation of linear regression models (Q1807092) (← links)
• Testing for monotonicity of a regression mean by calibrating for linear functions. (Q1848768) (← links)
• Nonparametric analysis of covariance. (Q1848910) (← links)
• The max-MSE's of minimax estimators of variance in nonparametric regression (Q1894984) (← links)
• Model checks for parametric regression models (Q1944371) (← links)
• On a nonparametric test for linear relationships (Q1970822) (← links)
• Optimal estimation of variance in nonparametric regression with random design (Q1996785) (← links)
• Heteroscedasticity checks for single index models (Q2018595) (← links)
• Dependence of variance on covariate design in nonparametric link regression (Q2105389) (← links)
• Nonparametric estimation in a regression model with additive and multiplicative noise (Q2186924) (← links)
• Residual variance estimation using a nearest neighbor statistic (Q2267583) (← links)
• Estimating residual variance in random forest regression (Q2275646) (← links)
• Multiscale change-point segmentation: beyond step functions (Q2326059) (← links)
• A least squares method for variance estimation in heteroscedastic nonparametric regression (Q2336557) (← links)
• Estimators in step regression models (Q2348326) (← links)
• Bootstrap tests for nonparametric comparison of regression curves with dependent errors (Q2384663) (← links)
• Optimal variance estimation based on lagged second-order difference in nonparametric regression (Q2403403) (← links)
• Extreme value analysis of empirical frame coefficients and implications for denoising by soft-thresholding (Q2450940) (← links)
• Asymptotic approximation of nonparametric regression experiments with unknown variances (Q2456015) (← links)
• Variance estimation in nonparametric regression via the difference sequence method (Q2466688) (← links)
• Testing parametric models in the presence of instrumental variables (Q2483433) (← links)
• A note on the use of \(V\) and \(U\) statistics in nonparametric models of regression (Q2502147) (← links)
• Statistical inferences for functional data (Q2642741) (← links)
• Nonparametric Recursive Variance Estimation (Q2785881) (← links)
• Error variance estimation for the single-index model (Q2810421) (← links)