Nonparametric Wavelet Regression Based on Biased Data

DOI10.1080/03610926.2012.681536zbMath1297.62085OpenAlexW2061385837MaRDI QIDQ2921819

Esmaeil Shirazi, Christophe Chesneau

Publication date: 14 October 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.681536

zbMATH Keywords

waveletsadaptivitybiased regression estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (13)

MISE of wavelet estimators for regression derivatives with biased strong mixing data ⋮ Pointwise wavelet change-points estimation for dependent biased sample ⋮ An extension of Chesneau's theorem ⋮ Wavelet block thresholding for copula density estimation under biased sampling ⋮ Unnamed Item ⋮ Wavelet regression estimation over Lp risk based on negatively associated sample ⋮ Wavelet regression estimations for negatively associated sample ⋮ Non parametric regression estimations over L^p risk based on biased data ⋮ Nonparametric pointwise estimation for a regression model with multiplicative noise ⋮ Average derivative estimation from biased data ⋮ 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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