Multiply robust estimation in nonparametric regression with missing data

DOI10.1080/10485252.2019.1700254zbMath1435.62145OpenAlexW2993298987WikidataQ126575397 ScholiaQ126575397MaRDI QIDQ5221299

Lu Wang, Peisong Han, Yilun Sun

Publication date: 25 March 2020

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2019.1700254

zbMATH Keywords

kernel smoothingmissing at randomempirical likelihoodkernel estimating equations (KEEs)multiply robustness

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Missing data (62D10)

Related Items (2)

Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting ⋮ Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates

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