An extension of Chesneau's theorem

DOI10.1016/j.spl.2015.09.018zbMath1326.62084OpenAlexW2175697629MaRDI QIDQ893444

Junke Kou, You Ming Liu

Publication date: 19 November 2015

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

Full work available at URL: https://doi.org/10.1016/j.spl.2015.09.018

zbMATH Keywords

waveletslower bound\(L^p\) riskbiased regression estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40)

Related Items (8)

Wavelet optimal estimations for a two-dimensional continuous-discrete density function over \(L^p\) risk ⋮ MISE of wavelet estimators for regression derivatives with biased strong mixing data ⋮ Wavelet regression estimation over Lp risk based on negatively associated sample ⋮ Wavelet regression estimations for negatively associated sample ⋮ Nonparametric pointwise estimation for a regression model with multiplicative noise ⋮ Pointwise wavelet estimation of regression function based on biased data ⋮ Wavelet regression estimations with strong mixing data ⋮ Non linear wavelet estimation of regression derivatives based on biased data

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• Nonparametric Wavelet Regression Based on Biased Data
• Non parametric regression estimations over L^p risk based on biased data
• Kernel regression in the presence of size-bias
• Wavelet-based estimation of regression function for dependent biased data under a given random design
• Introduction to nonparametric estimation

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