BayesPy

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLuttinen, Jaakko
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2019-02-25T08:56:24Z
dc.date.available2019-02-25T08:56:24Z
dc.date.issued2016-04-01
dc.description.abstractBayesPy is an open-source Python software package for performing variational Bayesian inference. It is based on the variational message passing framework and supports conjugate exponential family models. By removing the tedious task of implementing the variational Bayesian update equations, the user can construct models faster and in a less error-prone way. Simple syntax, flexible model construction and efficient inference make BayesPy suitable for both average and expert Bayesian users. It also supports some advanced methods such as stochastic and collapsed variational inference.en
dc.description.versionPeer revieweden
dc.format.extent1-6
dc.format.mimetypeapplication/pdf
dc.identifier.citationLuttinen , J 2016 , ' BayesPy : Variational Bayesian inference in Python ' , Journal of Machine Learning Research , vol. 17 , 41 , pp. 1-6 . < http://www.jmlr.org/papers/volume17/luttinen16a/luttinen16a.pdf >en
dc.identifier.issn1532-4435
dc.identifier.issn1533-7928
dc.identifier.otherPURE UUID: fb3102bf-443e-467d-8a88-613f26ad0f90
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/fb3102bf-443e-467d-8a88-613f26ad0f90
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=84979894065&partnerID=8YFLogxK
dc.identifier.otherPURE LINK: http://www.jmlr.org/papers/volume17/luttinen16a/luttinen16a.pdf
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/32111341/luttinen16a.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/36950
dc.identifier.urnURN:NBN:fi:aalto-201902252107
dc.language.isoenen
dc.publisherMICROTOME PUBL
dc.relation.ispartofseriesJournal of Machine Learning Researchen
dc.relation.ispartofseriesVolume 17en
dc.rightsopenAccessen
dc.subject.keywordProbabilistic programming
dc.subject.keywordPython
dc.subject.keywordVariational Bayes
dc.titleBayesPyen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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