The following pages link to (Q4524030):
Displaying 39 items.
- \(K\)-plane regression (Q508945) (← links)
- Asymptotically optimal estimators of general regression functionals (Q689366) (← links)
- Mean squared error properties of kernel estimates of regression quantiles (Q753338) (← links)
- Regularization in kernel learning (Q847647) (← links)
- Estimation of a quadratic regression functional using the sinc kernel (Q866614) (← links)
- Nonparametric estimation of the regression function from quantized observations (Q959392) (← links)
- Kernel regression estimation in a Banach space (Q998998) (← links)
- Smoothing splines estimators in functional linear regression with errors-in-variables (Q1020144) (← links)
- On boosting kernel regression (Q1031760) (← links)
- Asymptotic properties of the multivariate Nadaraya-Watson regression function estimate: The fixed design case (Q1113582) (← links)
- On the almost everywhere properties of the kernel regression estimate (Q1207632) (← links)
- Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data (Q1623427) (← links)
- Regression operator estimation by delta-sequences method for functional data and its applications (Q1633257) (← links)
- Kernel regression estimation when the regressor takes values in metric space (Q1871541) (← links)
- Functional nonparametric model for time series: a fractal approach for dimension reduction (Q1872865) (← links)
- Kernel estimation under linear-exponential loss (Q1929074) (← links)
- A note on kernel principal component regression (Q1938788) (← links)
- Approximate kernel partial least squares (Q2023883) (← links)
- Local linear approach: conditional density estimate for functional and censored data (Q2162668) (← links)
- Strong consistency of local linear estimation of a conditional density function under random censorship (Q2211898) (← links)
- Functional local linear estimate for functional relative-error regression (Q2321814) (← links)
- Kernel dimension reduction in regression (Q2388983) (← links)
- The effect of the regularity of the error process on the performance of kernel regression estimators (Q2392261) (← links)
- Regression models with correlated errors based on functional random design (Q2398076) (← links)
- Frontier estimation via kernel regression on high power-transformed data (Q2476143) (← links)
- On approximations to the bias of the nadaraya-watson regression estimator (Q2762374) (← links)
- Kernel approximation: from regression to interpolation (Q2801324) (← links)
- Kernel Density-Based Linear Regression Estimate (Q2873947) (← links)
- (Q2888111) (← links)
- A test for the equality of monotone transformations of two random variables (Q2954248) (← links)
- Kernel Regression Estimation Using Repeated Measurements Data (Q3774717) (← links)
- Kernel partial least squares for stationary data (Q4637047) (← links)
- Functional data: local linear estimation of the conditional density and its application (Q5299461) (← links)
- Understanding Gaussian Process Regression Using the Equivalent Kernel (Q5450963) (← links)
- Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model (Q5880130) (← links)
- Kernel binary regression with multiple covariates (Q5891511) (← links)
- Kernel regression for errors-in-variables problems in the circular domain (Q6088739) (← links)
- Kernel regression estimation for LTRC and associated data (Q6164712) (← links)
- The effect of correlated errors on the performance of local linear estimation of regression function based on random functional design (Q6581337) (← links)
