Nonlinear wavelet density estimation with data missing at random when covariates are present

DOI10.1007/S00184-015-0536-XzbMath1329.62194OpenAlexW2056806285MaRDI QIDQ889153

Han-Ying Liang, Yu-Ye Zou, Jing-Jing Zhang

Publication date: 6 November 2015

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-015-0536-x

zbMATH Keywords

asymptotic normalitymean integrated squared errormissing datanonlinear wavelet density estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (4)

Hypothesis tests in partial linear errors-in-variables models with missing response ⋮ Asymptotic distribution of the wavelet-based estimators of multivariate regression functions under weak dependence ⋮ On density and regression estimation with incomplete data ⋮ CLT for integrated square error of density estimators with censoring indicators missing at random

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