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Integrating Out Nuisance Parameters for Computationally More Efficient Bayesian Estimation : An Illustration and Tutorial

dc.contributor.authorHecht, Martin
dc.contributor.authorGische, Christian
dc.contributor.authorVogel, Daniel
dc.contributor.authorZitzmann, Steffen
dc.date.accessioned2020-06-18T13:55:01Z
dc.date.available2020-06-18T13:55:01Z
dc.date.issued2020
dc.identifier.citationHecht , M , Gische , C , Vogel , D & Zitzmann , S 2020 , ' Integrating Out Nuisance Parameters for Computationally More Efficient Bayesian Estimation : An Illustration and Tutorial ' , Structural Equation Modeling , vol. 27 , no. 3 , pp. 483-493 . https://doi.org/10.1080/10705511.2019.1647432en
dc.identifier.issn1070-5511
dc.identifier.otherPURE: 149229258
dc.identifier.otherPURE UUID: 004bf43e-5fff-4a01-8932-2bd7b07e2161
dc.identifier.otherScopus: 85073991630
dc.identifier.otherWOS: 000487659500001
dc.identifier.otherORCID: /0000-0002-6360-4077/work/77724516
dc.identifier.urihttps://hdl.handle.net/2164/14525
dc.descriptionFunding We acknowledge support by the Open Access Publication Fund of Humboldt-Universität zu Berlin.en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofStructural Equation Modelingen
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creative commons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectBayesian analysisen
dc.subjectmulti-level modelingen
dc.subjectnuisance parametersen
dc.subjectrun time optimizationen
dc.subjectsampler monitoringen
dc.subjectstructural equation modelingen
dc.subjectTOOen
dc.subjectMODELen
dc.subjectQA Mathematicsen
dc.subjectEconomics, Econometrics and Finance(all)en
dc.subjectDecision Sciences(all)en
dc.subjectSociology and Political Scienceen
dc.subjectModelling and Simulationen
dc.subjectSupplementary Dataen
dc.subject.lccQAen
dc.titleIntegrating Out Nuisance Parameters for Computationally More Efficient Bayesian Estimation : An Illustration and Tutorialen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Mathematical Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1080/10705511.2019.1647432
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85073991630&partnerID=8YFLogxKen
dc.identifier.vol27en
dc.identifier.iss3en


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