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Principal component‐guided sparse regression

Canadian Journal of Statistics(2021)10.1002/cjs.11617Source: DataRank Database

Principal component‐guided sparse regression is a research paper published in Canadian Journal of Statistics (2021). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.22)OA: greenTopics (38)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Jerome H. Friedman ORCID,Robert Tibshirani ORCID,J. Kenneth Tay ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W2896982788

National Institutes of Health

Grant: 5R01 EB001988‐16

National Science Foundation

Grant: 19 DMS1208164

National Science Foundation

Grant: 1208164

Flexible and Adaptive Statistical Modeling

National Institutes of Health

Grant: 5R01EB001988-14

New Statistical Methods for Medical Signals and Images

FWCI

0.22

Citation Percentile

0.5%

Citation Trend

2019

2020

2021

2022

greenLicense: Wiley Online Library User Agreement

repositoryhttps://arxiv.org/pdf/1810.04651

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11617

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/cjs.11617

publisherhttps://onlinelibrary.wiley.com/doi/am-pdf/10.1002/cjs.11617

Fields of Study

Gene expression and cancer classificationStatistical Methods and InferenceSparse and Compressive Sensing Techniques0301 basic medicine01 natural sciences03 medical and health sciences0101 mathematics

Keywords

Principal component analysisFeature selectionFeature (linguistics)Lasso (programming language)Component (thermodynamics)Pattern recognition (psychology)Artificial intelligenceSparse PCARegressionMatrix (chemical analysis)Group (periodic table)Computer scienceQuadratic equationPrincipal component regressionProcess (computing)MathematicsFeature vectorAlgorithmStatisticsFOS: Computer and information sciencesRidge regression; shrinkage estimators (Lasso)sparsityMachine Learning (stat.ML)Factor analysis and principal components; correspondence analysissupervised learningMethodology (stat.ME)feature group selectionStatistics - Machine LearningLassoStatistics - Methodologyprincipal components

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions