Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective

dc.contributor.author	Kersting, Hans
dc.contributor.author	Hennig, Philipp
dc.date.accessioned	2020-08-20T07:26:42Z
dc.date.available	2020-08-20T07:26:42Z
dc.date.issued	2019
dc.identifier.issn	1573-1375
dc.identifier.uri	http://hdl.handle.net/10900/105562
dc.language.iso	en	en
dc.publisher	Springer	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s11222-019-09900-1
dc.subject.ddc	004	de_DE
dc.subject.ddc	510	de_DE
dc.title	Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200409032300_00733
utue.publikation.seiten	1297-1315	de_DE
utue.personen.roh	Tronarp, Filip
utue.personen.roh	Kersting, Hans
utue.personen.roh	Sarkka, Simo
utue.personen.roh	Hennig, Philipp
dcterms.isPartOf.ZSTitelID	Statistics and Computing	de_DE
dcterms.isPartOf.ZS-Issue	SI	de_DE
dcterms.isPartOf.ZS-Volume	29	de_DE
utue.fakultaet	Universität Tübingen (ohne Fakultätsangabe)
utue.fakultaet	Sonstige