On the correct regression function (in \(L_{2}\)) and its applications when the dimension of the covariate vector is random

DOI10.1016/j.jspi.2012.03.017zbMath1253.62029OpenAlexW1978392933MaRDI QIDQ447623

Majid Mojirsheibani

Publication date: 4 September 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.03.017

zbMATH Keywords

consistencyleast squareskernel estimatornonparametric

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items

On statistical classification with incomplete covariates via filtering, Kernel classification with missing data and the choice of smoothing parameters

Cites Work

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