Pages that link to "Item:Q1077110"
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The following pages link to Optimal bandwidth selection in nonparametric regression function estimation (Q1077110):
Displaying 50 items.
- Optimal smooth hazard estimates (Q1372572) (← links)
- Central limit theorems for quadratic errors of nonparametric estimators (Q1378811) (← links)
- Optimal pointwise adaptive methods in nonparametric estimation (Q1383092) (← links)
- On the asymptotic normality of kernel regression estimators of the mode in the nonparametric random design model. (Q1395876) (← links)
- Nonparametric estimation of distributions with categorical and continuous data (Q1403418) (← links)
- Combining different procedures for adaptive regression (Q1582634) (← links)
- Least squares cross-validation for the kernel deconvolution density estimator (Q1600150) (← links)
- A nonparametric measure of local association for two-way contingency tables (Q1615134) (← links)
- A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density (Q1623642) (← links)
- Optimal bandwidth selection in kernel density estimation for continuous time dependent processes (Q1642238) (← links)
- Optimal bandwidth selection for kernel density functionals estimation (Q1657915) (← links)
- Optimal bandwidth selection for the fuzzy regression discontinuity estimator (Q1668180) (← links)
- An alternative bandwidth selection method for estimating functional coefficient models (Q1673516) (← links)
- Minimax-rate adaptive nonparametric regression with unknown correlations of errors (Q1729945) (← links)
- Joint sufficient dimension reduction for estimating continuous treatment effect functions (Q1795569) (← links)
- Asymptotic comparison of (partial) cross-validation, GCV and randomized GCV in nonparametric regression (Q1807078) (← links)
- Mixing strategies for density estimation. (Q1848770) (← links)
- Random rates in anisotropic regression. (With discussion) (Q1848941) (← links)
- Oracle inequalities for inverse problems (Q1848959) (← links)
- Asymptotic behavior of bandwidth selected by the cross-validation method for local polynomial fitting (Q1861386) (← links)
- On cross-validation in kernel and partitioning regression estimation. (Q1871263) (← links)
- Bandwidth selection for kernel distribution function estimation (Q1901730) (← links)
- Nonlinear black-box models in system identification: Mathematical foundations (Q1911271) (← links)
- Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional \(U\)-statistics involving functional data (Q2103273) (← links)
- Nonparametric variable selection and its application to additive models (Q2183769) (← links)
- Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes (Q2231589) (← links)
- On robust cross-validation for nonparametric smoothing (Q2259086) (← links)
- Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method (Q2260589) (← links)
- Estimation of generalized additive models (Q2277702) (← links)
- Cross validation for locally stationary processes (Q2313282) (← links)
- Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel (Q2321797) (← links)
- Goodness-of-fit testing the error distribution in multivariate indirect regression (Q2323938) (← links)
- Time-varying nonlinear regression models: nonparametric estimation and model selection (Q2343961) (← links)
- Smoothing parameter selection for smooth distribution functions (Q2365868) (← links)
- Consistency of cross-validation when the data are curves (Q2366193) (← links)
- An iteration method of data censoring in the regression estimation problem (Q2371622) (← links)
- Choosing the most relevant level sets for depicting a sample of densities (Q2403405) (← links)
- A note on the optimality of generalized cross-validation bandwidth selection in partially linear models with kernel smoothing estimator (Q2431956) (← links)
- Optimal functional parameter in the single functional index model (Q2472994) (← links)
- Nonparametric regression function estimation with surrogate data and validation sampling (Q2493136) (← links)
- Nonparametric regression under alternative data environments (Q2493874) (← links)
- \(M\)-cross-validation in local median estimation (Q2505408) (← links)
- Automatic smoothing parameter selection for the nonparametric regression estimation of functional data. (Q2568349) (← links)
- On semiparametric \(M\)-estimation in single-index regression (Q2581646) (← links)
- A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation (Q2630081) (← links)
- Nonparametric regression for functional data: automatic smoothing parameter selection (Q2643275) (← links)
- Bayesian bandwidth estimation for local linear fitting in nonparametric regression models (Q2700530) (← links)
- Convergence rates for average square errors for kernel smoothing estimators (Q2720137) (← links)
- Model robust regression: combining parametric, nonparametric, and semiparametric methods (Q2720140) (← links)
- The conditional cumulative distribution function in single functional index model (Q2816665) (← links)
