Surrogate dimension reduction in measurement error regressions

DOI10.5705/SS.2012.105OpenAlexW2332947363MaRDI QIDQ5248919

Li Xing Zhu, Jun Zhang, Li-ping Zhu

Publication date: 28 April 2015

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/03e69d9704c34bcd0667da2166c6ffe294223a1e

zbMATH Keywords

measurement errorinverse regressiondiverging parameterscentral subspacesurrogate dimension reduction

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Ultrahigh-dimensional sufficient dimension reduction with measurement error in covariates ⋮ Sufficient dimension reduction for survival data analysis with error-prone variables ⋮ Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates ⋮ Likelihood-based surrogate dimension reduction

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