A model-free feature screening method for ultrahigh-dimensional right-censored data is
advocated. A two-step approach, with the help of knockoff features, is proposed to specify …

This paper is concerned with the robust feature screening method for ultra-high dimensional
right censored data. A new robust and model-free feature screening approach is built upon a …

Feature screening is commonly used to handle ultrahigh-dimensional data prior to
conducting a formal data analysis. While various feature screening methods have been …

In this paper we design a sure independent ranking and screening procedure for censored
regression (cSIRS, for short) with ultrahigh dimensional covariates. The inverse probability …

With the recent explosion of ultrahigh-dimensional data, extensive work has been carried
out for screening methods which can effectively reduce the dimensionality. However …

Feature screening is an important method to reduce the dimension and capture informative
variables in ultrahigh-dimensional data analysis. Many methods have been developed for …

For complete ultrahigh-dimensional data, sure independent screening methods can
effectively reduce the dimensionality while retaining all the active variables with high …

Ultra-high dimensional data arise in many fields of modern science, such as medical
science, economics, genomics and imaging processing, and pose unprecedented challenge …

Ultra-high dimensional data with right censored survival times are frequently collected in
large-scale biomedical studies, for which feature screening has become an indispensable …

Feature screening is an important method to reduce the dimension and capture informative
variables in ultrahigh-dimensional data analysis. Its key idea is to select informative …