… 2 Sure independence screening … journey of feature screening in ultra-high dimensional
feature space. A common practice for feature screening is using independence learning which …

… free sure independence procedure for ultrahigh dimensional … for conditional feature screening
given a low-dimensional … free conditional feature screening for ultrahigh dimensional data. …

… In this vein, we refer to variable screening using Algorithm 1 and the analysis of this paper
as extended sure independence screening (ExSIS). The main research challenge for ExSIS is …

… screening methods. Since it is very common that variables are correlated under the ultrahigh
dimensional … -free feature screening method for ultrahigh dimensional classification based …

… To solve the problem, we propose a novel pairwise sure independence screening method
for linear discriminant analysis with an ultrahigh-dimensional predictor. The proposed …

… call for substantially reducing the feature space by eliminating redundant covariates before
the … sure independence screening and other model- and correlation-based feature screening …

… statistic to measure the dependence between the transformed response variable and
predictors, we call it the Henze–Zirkler sure independence screening method or HZ-SIS for short. …

… We revisit sure independence screening procedures for variable selection in generalized …
to carry out variable selection using iterative sure independence screening (ISIS) and all of its …

… Enlightened by the previous research, we propose a new nonparametric feature screening
method for ultrahigh dimensional survival data subject to censoring. By incorporating Kaplan–…

… In this paper, we consider the ultrahigh dimensional linear model with multivariate
responses and aim to propose a new feature screening procedure. In order to measure the …