Bayesian learning of degenerate linear gaussian state space models using markov chain monte carlo

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dc.contributor.authorBunch, Pete
dc.contributor.authorMurphy, James
dc.contributor.authorGodsill, Simon
dc.date.accessioned2019-07-03T13:02:21Z
dc.date.available2019-07-03T13:02:21Z
dc.date.issued2016-08
dc.descriptionp.4100 - 4112en_US
dc.identifier.issn1053587X
dc.identifier.urihttp://hdl.handle.net/123456789/7583
dc.language.isoenen_US
dc.relation.ispartofseriesIn : IEEE transactions on signal processing, Vol.64, n°16 (Aout 2016);
dc.subjectTraitement du signalen_US
dc.subjectMatrices de covarianceen_US
dc.subjectApprentissage (intelligence artificielle)en_US
dc.subjectProcessus de Markoven_US
dc.subjectProcessus gaussiensen_US
dc.subjectMonte Carlo , méthodes deen_US
dc.titleBayesian learning of degenerate linear gaussian state space models using markov chain monte carloen_US
dc.typeArticleen_US

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