Pages that link to "Item:Q760120"

The following pages link to Bandwidth choice for nonparametric regression (Q760120):

Displaying 50 items.

• Asymptotic normality and consistency of semi-nonparametric regression estimators using an upwards \(F\) test truncation rule (Q1174639) (← links)
• On the consistency of the global minimizer of Mallow's criterion for nonparametric regression (Q1174649) (← links)
• Some stabilized bandwidth selectors for nonparametric regression (Q1178952) (← links)
• An elementary nonparametric differencing test of equality of regression functions (Q1285732) (← links)
• Consistent bandwidth selection for kernel binary regression (Q1299420) (← links)
• Nonparametric comparison of several regression functions: Exact and asymptotic theory (Q1307102) (← links)
• Nonparametric estimation of a regression function with dependent observations (Q1318337) (← links)
• Testing of linearity in a semiparametric regression model (Q1341190) (← links)
• Near optimal weights in nonparametric regression under some common restrictions (Q1344827) (← links)
• Monte Carlo response surfaces: A comparative approach (Q1345574) (← links)
• Bandwidth selection in nonparametric regression with general errors (Q1346654) (← links)
• Comparison of bandwidth selectors in nonparametric regression under dependence (Q1351550) (← links)
• Regression-free and robust estimation of scale for bivariate data (Q1351850) (← links)
• Incomplete generalized \(L\)-statistics (Q1354475) (← links)
• Nonparametric model checks for regression (Q1359416) (← links)
• Robust plug-in bandwidth estimators in nonparametric regression (Q1361612) (← links)
• Kernel regression estimates of growth curves using nonstationary correlated errors (Q1365178) (← links)
• An elementary estimator of the partial linear model (Q1389410) (← links)
• An interpolation method for adapting to sparse design in multivariate nonparametric regression (Q1400122) (← links)
• Nonparametric comparison of regression curves: An empirical process approach (Q1412369) (← links)
• A Kolmogorov-type test for monotonicity of regression. (Q1423170) (← links)
• Local asymptotics for polynomial spline regression (Q1431442) (← links)
• A consistent test for the functional form of a regression based on a difference of variance estimators (Q1568309) (← links)
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors (Q1596116) (← links)
• A consistent test for heteroscedasticity in nonparametric regression based on the kernel method (Q1600728) (← links)
• Convergence rate for cross-validatory bandwidth in kernel hazard estimation from dependent samples (Q1600739) (← links)
• Variance estimation for semiparametric regression models by local averaging (Q1616704) (← links)
• Variance estimation for integrated population models (Q1622169) (← links)
• Optimal difference-based estimation for partially linear models (Q1643015) (← links)
• Variational multiscale nonparametric regression: smooth functions (Q1650131) (← links)
• Asymptotically optimal differenced estimators of error variance in nonparametric regression (Q1658531) (← links)
• Robust testing for superiority between two regression curves (Q1659366) (← links)
• Consistent estimation of linear regression models using matched~data (Q1706498) (← links)
• On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression (Q1750258) (← links)
• Testing the equality of nonparametric regression curves (Q1801879) (← links)
• Analysis of oldest-old mortality: lifetables revisited (Q1807073) (← links)
• Asymptotic comparison of (partial) cross-validation, GCV and randomized GCV in nonparametric regression (Q1807078) (← links)
• Validation of linear regression models (Q1807092) (← links)
• Modulation of estimators and confidence sets. (Q1807150) (← links)
• Discontinuous versus smooth regression (Q1807167) (← links)
• Confidence sets centered at \(C_ p\)-estimators (Q1817404) (← links)
• Confidence regions for the set of global maximizers of nonparametrically estimated curves. (Q1818617) (← links)
• The distance between regression models and its impact on model selection (Q1822871) (← links)
• Testing for monotonicity of a regression mean by calibrating for linear functions. (Q1848768) (← links)
• On the degrees of freedom in shape-restricted regression. (Q1848815) (← links)
• Multiscale testing of qualitative hypotheses (Q1848857) (← links)
• Nonparametric analysis of covariance. (Q1848910) (← links)
• Signs of divided differences yield least squares data fitting with constrained monotonicity or convexity (Q1860374) (← links)
• Bayesian variants of some classical semiparametric regression techniques (Q1886283) (← links)
• Equipercentile equating via data-imputation techniques (Q1901376) (← links)