Reference health
Forward Regression for Ultra-High Dimensional Variable Screening
1 of 24 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.
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References needing attention
does not resolve to a known work10.2307/1269730
The 23 checked references that resolve
resolves10.1214/009053606000001523
The Dantzig selector: Statistical estimation when p is much larger than n
resolves10.1093/biomet/asn034
Extended Bayesian information criteria for model selection with large model spaces
resolves10.1109/ijcnn.2006.246934
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations
resolves10.1198/016214501753382273
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
resolves10.4171/022-3/31
Statistical challenges with high dimensionality: feature selection in knowledge discovery
resolves10.1111/j.1467-9868.2008.00674.x
Sure Independence Screening for Ultrahigh Dimensional Feature Space
resolves10.1214/009053604000000256
Nonconcave penalized likelihood with a diverging number of parameters
resolves10.1214/009053607000000875
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
resolves10.1214/07-aos520
The sparsity and bias of the Lasso selection in high-dimensional linear regression
resolves10.1214/009053607000000802
One-step sparse estimates in nonconcave penalized likelihood models
The 4 references without a DOI — listed, not checked
no DOI — not checkedAdaptive LASSO for sparse high dimensional regression
no DOI — not checkedA note on lasso and related procedures in model selection
no DOI — not checkedOn model selection consistency of lasso
no DOI — not checkedRegression shrinkage and selection via the elastic net with application to microarrays
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checked 2026-08-27 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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