Pages that link to "Item:Q1188536"

The following pages link to Nonparametric regression analysis of longitudinal data (Q1188536):

Displaying 50 items.

• A parallel solver for generalised additive models (Q1978411) (← links)
• Asymptotics for \(L_1\)-wavelet method for nonparametric regression (Q2069557) (← links)
• Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials (Q2121627) (← links)
• Universal weighted kernel-type estimators for some class of regression models (Q2227200) (← links)
• On estimation of mean and covariance functions in repeated time series with long-memory errors (Q2257486) (← links)
• Contribution to the bandwidth choice for kernel density estimates (Q2271691) (← links)
• On variance function estimation with quadratic forms (Q2365880) (← links)
• Shape constrained smoothing using smoothing splines (Q2488381) (← links)
• Empirical likelihood based inference for the derivative of the nonparametric regression function (Q2496943) (← links)
• Regression function estimation from dependent observations (Q2638688) (← links)
• Testing for linearity in generalized linear models using kernel smoothing (Q2785057) (← links)
• Semiparametric Modeling of Labeled-Cell Kinetics, with Application to Isotope Labeling of Erythrocytes (Q3079048) (← links)
• Exact rates of almost sure convergence of a recursive kernel estimate of a probability densiy function: Application to regression and hazard rate estimation (Q3432304) (← links)
• Modification for boundary effects and jump points in nonparametric regression (Q3432355) (← links)
• On Semiparametric Mode Regression Estimation (Q3566559) (← links)
• Estimation of non-parametric regression for dasometric measures (Q3592625) (← links)
• For numerical differentiation, dimensionality can be a blessing! (Q4240585) (← links)
• Density estimation using spline projection kernels (Q4275150) (← links)
• Nonparametric estimation of a class of smooth functions (Q4365359) (← links)
• Kernel density estimators from quantized data (Q4374250) (← links)
• Some diagnostic resultsin nonparametric density estimation^† (Q4385994) (← links)
• A NEW VERSION OF THE LOCAL CONSTANT M-SMOOTHER (Q4449030) (← links)
• Adaptive bandwidth choice (Q4470129) (← links)
• On study of kernel regression function polygons (Q4512741) (← links)
• LOCAL POLYNOMIAL REGRESSION ESTIMATION WITH CORRELATED ERRORS (Q4540657) (← links)
• DOUBLE SMOOTHING ESTIMATION OF THE MULTIVARIATE REGRESSION FUNCTION IN NONPARAMETRIC REGRESSION (Q4540730) (← links)
• Asymptotic Properties of One-Step Weighted $M$-Estimators with Applications to Regression (Q4580419) (← links)
• Surface and function approximation with nonparametric regression (Q4866738) (← links)
• Flexible methods for analysing longitudinal data using piecewise cubic polynomials (Q4869589) (← links)
• Second order approximation in a linear regression with heteroskedasticity of unknown form (Q4883723) (← links)
• Implementation of recursive nonparametric kernel estimation and a monte carlo study on its finite sample properties (Q4883727) (← links)
• Testing lack of fit of regression models under heteroscedasticity (Q4944639) (← links)
• Localpiecewise linear regression^∗ (Q4949157) (← links)
• Constructing Explicit Estimators in Nonlinear Regression Problems (Q4961762) (← links)
• Nonparametric relative recursive regression estimators for censored data (Q4988562) (← links)
• Uniform convergence rate of the kernel regression estimator adaptive to intrinsic dimension in presence of censored data (Q4988815) (← links)
• Asymptotic properties of one-step <i>M</i>-estimators (Q5076887) (← links)
• Kernel estimation of regression function gradient (Q5085565) (← links)
• New Local Estimation procedure for a Non-Parametric Regression Function for Longitudinal Data (Q5088211) (← links)
• Insensitivity of Nadaraya–Watson estimators to design correlation (Q5104494) (← links)
• Data-driven local polynomial for the trend and its derivatives in economic time series (Q5114484) (← links)
• (Q5381113) (← links)
• On a Wavelet-Based Method of Estimating a Regression Function (Q5421560) (← links)
• On the asymptotic variance in nonparametric regression with fractional time-series errors (Q5434737) (← links)
• Wavelets for Nonparametric Stochastic Regression with Mixing Stochastic Process (Q5457967) (← links)
• Histospline method in nonparametric regression models with application to clustered/longitu\-di\-nal data. (Q5701058) (← links)
• Robust nonparametric derivative estimator (Q5867424) (← links)
• A study of local linear ridge regression estimators (Q5931397) (← links)
• Weighted Nadaraya-Watson regression estimation (Q5934114) (← links)
• Triple smoothing estimation of the regression function and its derivatives in nonparametric regression (Q5950628) (← links)