The trimmed mean in non-parametric regression function estimation

DOI10.1090/tpms/1174OpenAlexW2976875685MaRDI QIDQ5047945

Prabrisha Rakshit, Subhra Sankar Dhar, Prashant K. Jha

Publication date: 17 November 2022

Published in: Theory of Probability and Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.10734

zbMATH Keywords

Nadaraya-Watson estimatorkernel density estimatorheavy-tailed distribution\(L\)-estimatorrobust estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Cites Work

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• Generalized method of trimmed moments
• Robust estimators in semi-functional partial linear regression models
• A comparison of robust estimators based on two types of trimming
• Asymptotic distribution of robust estimators for nonparametric models from mixing processes
• A general trimming approach to robust cluster analysis
• On robust nonparametric regression estimation for a functional regressor
• Smoothed L-estimation of regression function
• Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations
• Laws of the iterated logarithm for order statistics of uniform spacings
• Robust two-sample test of high-dimensional mean vectors under dependence
• The trimmed mean in the linear model
• Robust nonparametric regression estimation for dependent observations
• Adaptive choice of trimming proportions
• Strong convergence of robust equivariant nonparametric functional regression estimators
• Asymptotic normality of a robust estimator of the regression function for functional time series data
• The asymptotic distribution of the trimmed mean
• Trimmed Mean Isotonic Regression
• On the derivatives of trimmed mean
• Approximation Theorems of Mathematical Statistics
• LocalL-estimators for nonparametric regression under dependence
• Robust nonparametric estimation for functional data
• Asymptotic Distribution of Robust Estimator for Functional Nonparametric Models
• On Non-Parametric Estimates of Density Functions and Regression Curves
• On Some Robust Estimates of Location
• Some Flexible Estimates of Location
• Robust Statistics
• Preface

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