Multi-index regression models with missing covariates at random

DOI10.1016/J.JMVA.2013.10.006zbMath1278.62053OpenAlexW2086811231MaRDI QIDQ391947

Xu Guo, Li Xing Zhu, Wang-li Xu

Publication date: 13 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2013.10.006

zbMATH Keywords

single-index modelmulti-index modelinverse selection probability

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Single-index varying-coefficient models with missing covariates at random ⋮ Estimation in zero-inflated binomial regression with missing covariates ⋮ A new Bayesian single index model with or without covariates missing at random ⋮ On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification ⋮ Weighted composite quantile regression for single index model with missing covariates at random ⋮ Estimating multi-index models with response-conditional least squares ⋮ On histogram-based regression and classification with incomplete data

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