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dc.contributor.authorSimpson, Matthew
dc.date.accessioned2017-10-17T20:50:29Z
dc.date.available2017-10-17T20:50:29Z
dc.date.issued2017-04-25
dc.identifier.urihttps://hdl.handle.net/1813/52656
dc.description.abstractAn introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Presentation given at the U.S. Census Bureau on April 25, 2017.en_US
dc.description.sponsorshipNSF Award #1132031en_US
dc.language.isoen_USen_US
dc.relation.hasversionOriginally posted at http://stsn.missouri.edu/docs/stanintro_0.pdfen_US
dc.subjectSTANen_US
dc.subjectMonte Carloen_US
dc.subjectprogramming languageen_US
dc.titlePresentation: Introduction to Stan for Markov Chain Monte Carloen_US
dc.typepresentationen_US
dc.typesoftwareen_US


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