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Variable selection in Bayesian multiple instance regression using shotgun stochastic search

Computational Statistics & Data Analysis(2024)10.1016/j.csda.2024.107954Source: DataRank Database

Variable selection in Bayesian multiple instance regression using shotgun stochastic search is a research paper published in Computational Statistics & Data Analysis (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 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 0.16)OA: greenTopics (18)IDs (PubMed, PMC, OpenAlex)

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 (4)

Joungyoun Kim ORCID,Xinlei Wang ORCID,Johan Lim ORCID,Seongoh Park ORCID

Live enrichment

PubMed:38646418 PMC:PMC11027161 OpenAlex:https://openalex.org/W4393131937

Ministry of Science, ICT and Future Planning

Grant: NRF-2021R1G1A1005641

Ministry of Science, ICT and Future Planning

Grant: NRF-2019R1I1A3A0105988614

National Institutes of Health

Grant: R01CA258584

National Research Foundation of Korea

FWCI

0.16

Citation Percentile

0.4%

Citation Trend

2025

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11027161/pdf/nihms-1979639.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0167947324000380?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0167947324000380?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11027161

Fields of Study

Image Retrieval and Classification Techniques

Keywords

InterpretabilityFeature selectionMachine learningComputer scienceContext (archaeology)Regression analysisArtificial intelligenceLinear regressionSelection (genetic algorithm)Data miningMathematicsMCMCModel SelectionHierarchical ModelMultiple Instance LearningBinding Affinity PredictionMusk Data