A general result on the uniform in bandwidth consistency of kernel-type function estimators
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Publication:261466
DOI10.1007/s11749-010-0188-0zbMath1331.62235OpenAlexW2040780968MaRDI QIDQ261466
David M. Mason, Jan W. H. Swanepoel
Publication date: 23 March 2016
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-010-0188-0
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Strong limit theorems (60F15)
Related Items (16)
Bernstein estimation for a copula derivative with application to conditional distribution and regression functionals ⋮ Uniform in bandwidth rate of convergence of the conditional mode estimate on functional stationary ergodic data ⋮ A Strong Invariance Theorem of the Tail Empirical Copula Processes ⋮ Uniform in bandwidth consistency of nonparametric regression based on copula representation ⋮ A new class of boundary kernels for distribution function estimation ⋮ Uniform-in-bandwidth functional limit laws ⋮ On the strong approximation of bootstrapped empirical copula processes with applications ⋮ Optimal Kernel Selection for Density Estimation ⋮ Uniform in bandwidth consistency of conditional \(U\)-statistics adaptive to intrinsic dimension in presence of censored data ⋮ Uniform consistency and uniform in bandwidth consistency for nonparametric regression estimates and conditional U-statistics involving functional data ⋮ Proving consistency of non-standard kernel estimators ⋮ Uniform in bandwidth consistency of kernel estimators of the density of mixed data ⋮ Uniform convergence rate of the kernel regression estimator adaptive to intrinsic dimension in presence of censored data ⋮ The law of the iterated logarithm and maximal smoothing principle for the kernel distribution function estimator ⋮ On the uniform-in-bandwidth consistency of the general conditionalU-statistics based on the copula representation ⋮ Uniform in bandwidth consistency for various kernel estimators involving functional data
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