Pages that link to "Item:Q3780269"
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The following pages link to The estimation of residual variance in nonparametric regression (Q3780269):
Displaying 48 items.
- A simple bootstrap method for constructing nonparametric confidence bands for functions (Q385770) (← links)
- Variance estimation for high-dimensional regression models (Q697472) (← links)
- Automatic and asymptotically optimal data sharpening for nonparametric regression (Q730822) (← links)
- Nonparametric least squares estimation in derivative families (Q736532) (← links)
- A non-iterative optimization method for smoothness in penalized spline regression (Q746232) (← 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)
- Notes on minimax approaches in nonparametric regression (Q1327730) (← links)
- Curve estimation when the design density is low (Q1359422) (← links)
- An elementary estimator of the partial linear model (Q1389410) (← links)
- Estimating linear functionals of the error distribution in nonparametric regression (Q1417795) (← links)
- Residual coefficient of variation and some characterization results (Q1589678) (← links)
- A nearest neighbor estimate of the residual variance (Q1639197) (← links)
- Asymptotically optimal differenced estimators of error variance in nonparametric regression (Q1658531) (← links)
- Estimation of a function with discontinuities via local polynomial fit with an adaptive window choice (Q1807122) (← links)
- Testing for monotonicity of a regression mean by calibrating for linear functions. (Q1848768) (← links)
- Splines from a Bayesian point of view (Q1906307) (← links)
- Estimating residual variance in random forest regression (Q2275646) (← links)
- A least squares method for variance estimation in heteroscedastic nonparametric regression (Q2336557) (← links)
- On variance function estimation with quadratic forms (Q2365880) (← links)
- Optimal variance estimation based on lagged second-order difference in nonparametric regression (Q2403403) (← links)
- Nonparametric estimation and inference under shape restrictions (Q2405907) (← links)
- Variance estimation in nonparametric regression via the difference sequence method (Q2466688) (← links)
- Non-parametric estimation of the residual distribution (Q2771558) (← links)
- Adjusted Confidence Bands for Complex Survey Data (Q2816720) (← links)
- On Variance Components in Semiparametric Mixed Models for Longitudinal Data (Q3103133) (← links)
- Nonparametric estimation of residual variance revisited (Q3142238) (← links)
- Consistent variance estimate of linear process errors (Q3180516) (← links)
- On the estimation of residual variance in nonparametric regression (Q3432313) (← links)
- On variance estimation in nonparametric regression (Q3497045) (← links)
- Estimating residual variance in nonparametric regression using least squares (Q3545420) (← links)
- A covariate-matched estimator of the error variance in nonparametric regression (Q3619659) (← links)
- (Q3773102) (← links)
- Residual variance and residual pattern in nonlinear regression (Q3795064) (← links)
- Minqe-theory and the estimation of residual variance in regressions analysis (Q3795079) (← links)
- A graphical method for estimating the residual variance in nonparametric regression (Q3823647) (← links)
- An integral estimator of residual variance and a measure of explanatory power of covariates in nonparametric regression (Q4222536) (← links)
- Some remarks about the gasser-sroka-jennen-steinmetz variance estimator (Q4275778) (← links)
- DOUBLE SMOOTHING ESTIMATION OF THE MULTIVARIATE REGRESSION FUNCTION IN NONPARAMETRIC REGRESSION (Q4540730) (← links)
- Rate of convergence of the density estimation of regression residual (Q4918191) (← links)
- Difference-based variance estimator for nonparametric regression in complex surveys (Q5219232) (← links)
- Relative Errors of Difference-Based Variance Estimators in Nonparametric Regression (Q5494725) (← links)
- Non-parametric estimation of residual moments and covariance (Q5505110) (← links)
- On Variance Estimation in Semiparametric Regression Models (Q5697406) (← links)
- Bayesian inversion techniques for stochastic partial differential equations (Q6059574) (← links)
- Comparison of difference based variance estimators for partially linear models (Q6067500) (← links)
- Efficient error variance estimation in non‐parametric regression (Q6081852) (← links)
