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Modeling EEG Spectral Features Through Warped Functional Mixed Membership Models

Bayesian Analysis(2025)10.1214/26-ba1594Source: DataRank Database

Modeling EEG Spectral Features Through Warped Functional Mixed Membership Models is a research paper published in Bayesian Analysis (2025). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: goldTopics (16)IDs (PubMed, 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 (6)

Damla Şentürk ORCID,Shafali Jeste ORCID,Charlotte DiStefano ORCID,Abigail Dickinson ORCID,Donatello Telesca ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4405354464

National Institutes of Health

Grant: 5R01MH122428-05

Functional Data Analysis for High-Dimensional Biobehavioral Data

FWCI

0.00

Citation Percentile

0.0%

goldLicense: cc-by

journalhttps://doi.org/10.1214/26-ba1594

publisherhttps://doi.org/10.1214/26-ba1594

repositoryhttp://arxiv.org/abs/2412.08762

repositoryhttps://doi.org/10.48550/arxiv.2412.08762

repositoryhttps://arxiv.org/pdf/2412.08762

Fields of Study

Neural Networks and Applications0101 mathematics01 natural sciences

Keywords

ElectroencephalographyComputer scienceEconometricsPattern recognition (psychology)Artificial intelligenceMathematicsPsychologyNeuroscienceMethodology (stat.ME)FOS: Computer and information sciencesApplications (stat.AP)Statistics - ApplicationsStatistics - Methodology