Wavelet-L1-estimation for non parametric location-scale models under a general dependence framework

DOI10.1080/03610926.2021.1972312OpenAlexW3198641426MaRDI QIDQ6107519

Xing-Cai Zhou, Unnamed Author, Beibei Ni, Hao Shen

Publication date: 3 July 2023

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

Full work available at URL: https://doi.org/10.1080/03610926.2021.1972312

zbMATH Keywords

Bahadur representationdependent datalocation-scale modelswavelet-\(L_1\)-estimation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Functional linear regression analysis for longitudinal data
• Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors
• Asymptotics of nonparametric L-1 regression models with dependent data
• Nonparametric regression estimation in models with weak error's structure
• Inference for censored quantile regression models in longitudinal studies
• \(L_{1}\)-estimation in a semiparametric model with longitudinal data
• Wavelets, approximation, and statistical applications
• Statistical estimation in varying coefficient models
• Wavelet estimation in varying-coefficient partially linear regression models
• Quantile regression for longitudinal data
• A more general central limit theorem for \(m\)-dependent random variables with unbounded \(m\)
• Wavelet-M-estimation for time-varying coefficient time series models
• Asymptotics of a wavelet estimator in the nonparametric regression model with repeated measurements under a NA error process
• Asymptotic normality of wavelet estimator for strong mixing errors
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• M-estimation and B-spline approximation for varying coefficient models with longitudinal data
• Kernel Regression Estimation Using Repeated Measurements Data
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• The L 1 Method for Robust Nonparametric Regression
• Wavelet Methods for Curve Estimation
• Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data
• Varying-coefficient models and basis function approximations for the analysis of repeated measurements
• Smoothing Spline Estimation in Varying-Coefficient Models
• Berry–Esseen bound of wavelet estimators in heteroscedastic regression model with random errors
• Asymptotic Normality ofM-Estimators for Varying Coefficient Models with Longitudinal Data
• Wavelet-based estimation of regression function with strong mixing errors under fixed design
• Nonlinear system theory: Another look at dependence
• Wavelets for Nonparametric Stochastic Regression with Mixing Stochastic Process
• L₁-estimation for varying coefficient models
• Theory of Reproducing Kernels

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