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Bayesian analysis of nonparanormal graphical models using rank-likelihood

Journal of Statistical Planning and Inference(2022)10.1016/j.jspi.2022.06.006Source: DataRank Database

Bayesian analysis of nonparanormal graphical models using rank-likelihood is a research paper published in Journal of Statistical Planning and Inference (2022). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)Impact (FWCI 0.00)OA: closedTopics (30)IDs (PubMed, OpenAlex)

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Authors (2)

Subhashis Ghosal ORCID,Jami J. Mulgrave ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W2939727969

National Institutes of Health

Grant: DMS-1510238

National Institutes of Health

Grant: DMS-1732842

National Institutes of Health

Grant: GM081057

US Army Research Office

Grant: 76643MA

National Science Foundation

Grant: DGE-1252376

National Science Foundation

Grant: 1252376

Graduate Research Fellowship Program (GRFP)

National Science Foundation

Grant: 1510238

Bayesian estimation and uncertainty quantification for high dimensional data

National Institutes of Health

Grant: 5T32GM081057-13

Biostatistics Training in the Omics Era

FWCI

0.00

Citation Percentile

0.0%

closedLicense: Elsevier TDM

publisherhttps://api.elsevier.com/content/article/PII:S0378375822000593?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0378375822000593?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jspi.2022.06.006

https://dx.doi.org/10.48550/arxiv.1812.02884

http://arxiv.org/abs/1812.02884

Fields of Study

Spectroscopy and Chemometric AnalysesBayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference01 natural sciences0101 mathematics

Keywords

MathematicsGraphical modelGibbs samplingMultivariate normal distributionPrior probabilityGaussianRank (graph theory)Applied mathematicsBayesian probabilityStatisticsAlgorithmMultivariate statisticsCombinatoricsFOS: Computer and information sciencesEstimation in multivariate analysisBayesian inferencesemiparametric modelMethodology (stat.ME)Gaussian copula graphical modelsstructure learninghorseshoe priorNonparametric estimationCharacterization and structure theory for multivariate probability distributions; copulasStatistics - MethodologyProbabilistic graphical models

Bayesian analysis of nonparanormal graphical models using rank-likelihood

FAIR Checklist

Authors (2)

Funding (8 grants)

Impact

Open Access

Topics