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Feature Screening for Ultrahigh Dimensional Categorical Data with Applications

https://doi.org/10.2139/ssrn.2378670
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1 of 19 checkable references need attention · checked 2026-08-27

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.2307/2335942
The 18 checked references that resolve
resolves10.1093/jnci/95.7.511
The Central Role of Receiver Operating Characteristic (ROC) Curves in Evaluating Tests for the Early Detection of Cancer
resolves10.1023/A:1010933404324
Random Forests
resolves10.1198/jasa.2011.tm09779
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
resolves10.1111/j.1467-9868.2008.00674.x
Sure Independence Screening for Ultrahigh Dimensional Feature Space
resolves10.1214/10-aos798
Sure independence screening in generalized linear models with NP-dimensionality
resolves10.1016/0304-4076(87)90030-3
Non-parametric analysis of a generalized regression model
resolves10.1007/978-0-387-21606-5_14
Unsupervised Learning
resolves10.1214/13-aos1087
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
resolves10.1214/12-aos1024
Robust rank correlation based screening
resolves10.1080/01621459.2012.695654
Feature Screening via Distance Correlation Learning
resolves10.1080/01621459.2013.850086
Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
resolves10.1093/biomet/ass062
The Kolmogorov filter for variable screening in high-dimensional binary classification
resolves10.2307/1911029
The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions
resolves10.2307/2951780
The Limiting Distribution of the Maximum Rank Correlation Estimator
resolves10.1214/009053607000000505
Measuring and testing dependence by correlation of distances
resolves10.1016/j.csda.2006.10.004
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
resolves10.1198/jasa.2008.tm08516
Forward Regression for Ultra-High Dimensional Variable Screening
resolves10.1198/jasa.2011.tm10563
Model-Free Feature Screening for Ultrahigh-Dimensional Data
The 4 references without a DOI — listed, not checked
no DOI — not checkedUltrahigh dimensional feature selection: beyond the linear model
no DOI — not checkedDimension reduction in text classification with support vector machines
no DOI — not checkedSupport vector machine active learning with application to text classification
no DOI — not checkedref22
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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