Pages that link to "Item:Q1083791"

The following pages link to Nonparametric orthogonal series estimators of regression: A class attaining the optimal convergence rate in \(L_ 2\) (Q1083791):

Displaying 22 items.

• Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data (Q434925) (← links)
• Convergence rates for trigonometric and polynomial-trigonometric regression estimators (Q749097) (← links)
• Trigonometric series regression estimators with an application to partially linear models (Q921774) (← links)
• Consistent nonparametric multiple regression: the fixed design case (Q1098517) (← links)
• Fixed design regression for time series: Asymptotic normality (Q1185836) (← links)
• On estimation of surrogate models for multivariate computer experiments (Q1733118) (← links)
• Nonparametric quantile estimation using importance sampling (Q1744716) (← links)
• Regression function and noise variance tracking methods for data streams with concept drift (Q1797885) (← links)
• Rate of convergence of nonparametric estimates of maximum-likelihood type (Q1821448) (← links)
• Nonparametric quantile estimation using surrogate models and importance sampling (Q2303750) (← links)
• Nonparametric trigonometric orthogonal regression estimation (Q2630185) (← links)
• Regression series estimators: the mise approach (Q2762369) (← links)
• On the rate of convergence of orthogonal series density estimators (Q3749907) (← links)
• On finite-sample properties of adaptive least squares regression estimates (Q4324725) (← links)
• The asymptotic average squared error for polynomial regression (Q4324734) (← links)
• Convergence rates of orthogonal series regression estimators (Q4523023) (← links)
• On orthogonal series estimation of bounded regression functions (Q4548948) (← links)
• Experimental Design for (Semi-)Local Regression (Q4807620) (← links)
• Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models (Q4827679) (← links)
• Least squares orthogonal polynomial regression estimation for irregular design (Q5085600) (← links)
• Estimation of extreme quantiles in a simulation model (Q5742402) (← links)
• Deep nonparametric regression on approximate manifolds: nonasymptotic error bounds with polynomial prefactors (Q6172194) (← links)