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

DOI10.1016/J.SPL.2007.03.007zbMath1331.62194OpenAlexW1994122680MaRDI QIDQ2643031

Lanh Tat Tran, Wentao Gu, George G. Roussas

Publication date: 23 August 2007

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2007.03.007

zbMATH Keywords

kernel functionfixed designregressionnegatively associated

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Related Items (10)

On Complete Convergence for Weighted Sums of NA Random Fields ⋮ On sufficient conditions for the consistency of local linear kernel estimators ⋮ CLT of wavelet estimator in semiparametric model with correlated errors ⋮ Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation ⋮ Universal kernel-type estimation of random fields ⋮ On complete convergence for weighted sums of asymptotically linear negatively dependent random field ⋮ A remark on the law of the logarithm for weighted sums of random variables with multidimensional indices ⋮ Complete convergence for weighted sums of \(\rho^*\)-mixing random fields ⋮ Berry-Esseen type bounds of estimators in a semiparametric model with linear process errors ⋮ Complete convergence for weighted sums of i.i.d. random variables with applications in regression estimation and EV model

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• Negative association of random variables, with applications
• Estimation of a two-dimensional distribution function under association
• A general method of density estimation for associated random variables
• Density estimation for associated sampling: A point process influenced approach
• Dependence and Aging Aspects of Multivariate Survival

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