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Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates

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In this paper, we consider the ultrahigh-dimensional sufficient dimension reduction (SDR) for censored data and measurement error in covariates. We first propose the feature screening procedure bas... Click to show full abstract

In this paper, we consider the ultrahigh-dimensional sufficient dimension reduction (SDR) for censored data and measurement error in covariates. We first propose the feature screening procedure bas...

Keywords: data measurement; sufficient dimension; dimensional sufficient; dimension reduction; censored data; ultrahigh dimensional

Journal Title: Journal of Applied Statistics
Year Published: 2020

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