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Bayesian graph selection consistency under model misspecification

Bernoulli(2020)10.3150/20-bej1253Source: DataRank Database

Bayesian graph selection consistency under model misspecification is a research paper published in Bernoulli (2020). On theSindex it has a DataRank of 0. It has been cited 7 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: bronzeTopics (17)IDs (PubMed)

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Authors (3)

Debdeep Pati ORCID,Bani K. Mallick ORCID,Yabo Niu ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: 1R01CA194391-01A1

Graph-based Bayesian analysis of Genomics and Proteomics Data

National Science Foundation

Grant: 1854731

Enhanced Statistical Learning for Physical Systems Exploiting Non-Standard Constraints

National Science Foundation

Grant: 1934904

HDR Tripods: Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

National Science Foundation

Grant: 1916371

Prior Calibration and Algorithmic Guarantees under Parameter Restrictions

bronzeLicense: arXiv Non-Exclusive Distribution

publisherhttps://projecteuclid.org/journals/bernoulli/volume-27/issue-1/Bayesian-graph-selection-consistency-under-model-misspecification/10.3150/20-BEJ1253.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8300537

https://doi.org/10.3150/20-bej1253

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300537

https://dx.doi.org/10.48550/arxiv.1901.04134

Fields of Study

01 natural sciences0101 mathematics

Keywords

minimal triangulation62F15 (Primary), 60K35 (Secondary)Bayesian inferenceApplications of graph theorydecomposable graphMathematics - Statistics TheoryStatistics Theory (math.ST)Algebraic statisticsgraph selection consistencyhyper-inverse Wishart distributionGaussian graphical modelpartial correlationFOS: Mathematicsmodel misspecificationProbabilistic graphical models