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Density regression and uncertainty quantification with Bayesian deep noise neural networks

Stat(2023)10.1002/sta4.604Source: DataRank Database

Density regression and uncertainty quantification with Bayesian deep noise neural networks is a research paper published in Stat (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 0.25)OA: hybridTopics (20)IDs (PubMed, PMC, OpenAlex)Annotations (1)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)

Tianci Liu ORCID,Lana X. Garmire ORCID,Daiwei Zhang ORCID

Live enrichment

PubMed:38957733 PMC:PMC11218593 OpenAlex:https://openalex.org/W4385495095

National Institutes of Health

Grant: NIH R01MH105561

National Institutes of Health

Grant: NIH R01DA048993

National Institutes of Health

Grant: NIH R01GM124061

NIGMS NIH HHS

Grant: R01 GM124061

NIMH NIH HHS

Grant: R01 MH105561

NIDA NIH HHS

Grant: R01 DA048993

National Science Foundation

FWCI

0.25

Citation Percentile

0.4%

Citation Trend

2024

2025

hybridLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sta4.604

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sta4.604

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.604

journalhttps://doi.org/10.1002/sta4.604

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38957733

Fields of Study

Machine Learning in Materials ScienceExplainable Artificial Intelligence (XAI)Gaussian Processes and Bayesian Inference

Keywords

Computer scienceBayesian probabilityArtificial neural networkArtificial intelligenceGibbs samplingNoise (video)Range (aeronautics)Uncertainty quantificationRegressionVariance (accounting)Machine learningPattern recognition (psychology)AlgorithmStatisticsMathematicsNeural networksBayesian Methods

Sustainable Development Goals

SDG 0: Sustainable cities and communities