Wavelet-based estimation of regression function for dependent biased data under a given random design
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Publication:5299866
DOI10.1080/10485252.2012.734619zbMath1297.62084OpenAlexW2051509274MaRDI QIDQ5299866
Christophe Chesneau, Esmaeil Shirazi, Yogendra P. Chaubey
Publication date: 24 June 2013
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2012.734619
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
Related Items (17)
Nonparametric regression on random fields with random design using wavelet method ⋮ Strong consistency of wavelet estimators for errors-in-variables regression model ⋮ 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 ⋮ Unnamed Item ⋮ Multivariate wavelet density estimation for strong mixing stratified size-biased sample ⋮ Wavelet regression estimation over Lp risk based on negatively associated sample ⋮ Wavelet regression estimations for negatively associated sample ⋮ Non parametric regression estimations over Lp risk based on biased data ⋮ Nonparametric pointwise estimation for a regression model with multiplicative noise ⋮ Regression estimation under strong mixing data ⋮ Average derivative estimation from biased data ⋮ Pointwise wavelet estimation of regression function based on biased data ⋮ Wavelet regression estimations with strong mixing data ⋮ Wavelet thresholding in fixed design regression for Gaussian random fields ⋮ Non linear wavelet estimation of regression derivatives based on biased data
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