Hecht, MartinGische, ChristianVogel, DanielZitzmann, Steffen2020-06-182020-06-182020Hecht, 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/10.1080/10705511.2019.16474321070-5511ORCID: /0000-0002-6360-4077/work/77724516https://hdl.handle.net/2164/14525Funding We acknowledge support by the Open Access Publication Fund of Humboldt-Universität zu Berlin.11950033engBayesian analysismulti-level modelingnuisance parametersrun time optimizationsampler monitoringstructural equation modelingTOOMODELQA MathematicsEconomics, Econometrics and Finance(all)General Decision SciencesSociology and Political ScienceModelling and SimulationSupplementary DataQAJournal article10.1080/10705511.2019.1647432http://www.scopus.com/inward/record.url?scp=85073991630&partnerID=8YFLogxK273