An Integrative Bayesian Modeling Approach to Imaging Genetics

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dc.citation.firstpage876en_US
dc.citation.issueNumber503en_US
dc.citation.journalTitleJournal of the American Statistical Associationen_US
dc.citation.lastpage891en_US
dc.citation.volumeNumber108en_US
dc.contributor.authorStingo, Francesco C.en_US
dc.contributor.authorGuindani, Micheleen_US
dc.contributor.authorVannucci, Marinaen_US
dc.contributor.authorCalhoun, Vince D.en_US
dc.date.accessioned2014-10-07T21:52:29Z
dc.date.available2014-10-07T21:52:29Z
dc.date.issued2013en_US
dc.identifier.citationStingo, Francesco C., Guindani, Michele, Vannucci, Marina, et al.. "An Integrative Bayesian Modeling Approach to Imaging Genetics." <i>Journal of the American Statistical Association,</i> 108, no. 503 (2013) Taylor & Francis: 876-891. http://dx.doi.org/10.1080/01621459.2013.804409.
dc.identifier.doihttp://dx.doi.org/10.1080/01621459.2013.804409en_US
dc.identifier.urihttps://hdl.handle.net/1911/77436
dc.language.isoengen_US
dc.publisherTaylor & Francis
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyighted by Taylor & Francisen_US
dc.subject.keywordBayesian Hierarchical Modelen_US
dc.subject.keywordfunctional Magnetic Resonance Imagingen_US
dc.subject.keywordImaging Geneticsen_US
dc.subject.keywordMarkov Random Fielden_US
dc.subject.keywordNeuroimagingen_US
dc.subject.keywordSingle-nucleotide polymorphismen_US
dc.subject.keywordVariable Selectionen_US
dc.titleAn Integrative Bayesian Modeling Approach to Imaging Geneticsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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