Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation (Q6112445)

scientific article; zbMATH DE number 7723256

Language	Label	Description	Also known as
English	Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation	scientific article; zbMATH DE number 7723256

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instance of

scholarly article

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title

Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation (English)

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author

Q6062757

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published in

Theory of Probability & Its Applications

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publication date

7 August 2023

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zbMATH Keywords

nonparametric regression

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Nadaraya-Watson estimators

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uniform consistency

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fixed design

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random design

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strongly dependent design elements

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1137/s0040585x97t991362

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cites work

Q3125064

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Nonparametric regression analysis of longitudinal data

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The uniform convergence of the nadaraya‐watson regression function estimate

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Uniform consistency of a class of regression function estimators

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An interpolation method for adapting to sparse design in multivariate nonparametric regression

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On internally corrected and symmetrized kernel estimators for nonparametric regression

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Some results on random design regression with long memory errors and predictors

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Strong consistency of the internal estimator of nonparametric regression with dependent data

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Uniform convergence of estimator for nonparametric regression with dependent data

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UNIFORM CONSISTENCY FOR NONPARAMETRIC ESTIMATORS IN NULL RECURRENT TIME SERIES

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Uniform convergence rates for a class of martingales with application in non-linear cointegrating regression

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UNIFORM CONVERGENCE FOR NONPARAMETRIC ESTIMATORS WITH NONSTATIONARY DATA

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NONPARAMETRIC TRANSFORMATION REGRESSION WITH NONSTATIONARY DATA

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Structural Nonparametric Cointegrating Regression

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Nonparametric estimation in a nonlinear cointegration type model

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Estimation in semi-parametric regression with non-stationary regressors

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Local polynomial estimation with a FARIMA-GARCH error process

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Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors

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Asymptotic normality of a wavelet estimator for asymptotically negatively associated errors

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On the convergence rate of fixed design regression estimators for negatively associated random variables

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Nonparametric estimation of a regression function with dependent observations

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Estimation of the regression operator from functional fixed-design with correlated errors

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Consistent nonparametric regression: Some generalizations in the fixed design case

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Multiparameter bandwidth processes and adaptive surface smoothing

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Fitting a multiple regression function

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Nonparametric multiple function fitting

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Asymptotic properties of the multivariate Nadaraya-Watson regression function estimate: The fixed design case

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Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences

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Choosing a kernel regression estimator. With comments and a rejoinder by the authors

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Versions of Kernel-Type Regression Estimators

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Remarks on Non-Parametric Estimates for Density Functions and Regression Curves

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Insensitivity of Nadaraya–Watson estimators to design correlation

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Universal weighted kernel-type estimators for some class of regression models

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Asymptotic properties of one-step <i>M</i>-estimators

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Constructing Explicit Estimators in Nonlinear Regression Problems

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Constructing initial estimators in one-step estimation procedures of nonlinear regression

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Moment inequalities for sums of dependent random variables under projective conditions

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Identifiers

Mathematics Subject Classification ID

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10.1137/S0040585X97T991362

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Sitelinks

Mathematics(1 entry)

mardi Publication:6112445