Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks

dc.contributor.author	Peters, Jonas
dc.contributor.author	Janzing, Dominik
dc.contributor.author	Schölkopf, Bernhard
dc.date.accessioned	2019-03-06T11:03:29Z
dc.date.available	2019-03-06T11:03:29Z
dc.date.issued	2016
dc.identifier.issn	1532-4435
dc.identifier.uri	http://hdl.handle.net/10900/86622
dc.language.iso	en	de_DE
dc.publisher	Microtome Publ	de_DE
dc.relation.uri	http://jmlr.org/papers/volume17/14-518/14-518.pdf	de_DE
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	004	de_DE
dc.subject.ddc	600	de_DE
dc.title	Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks	de_DE
dc.type	Article	de_DE
utue.quellen.id	20180405102126_04156
utue.personen.roh	Mooij, Joris M.
utue.personen.roh	Peters, Jonas
utue.personen.roh	Janzing, Dominik
utue.personen.roh	Zscheischler, Jakob
utue.personen.roh	Schoelkopf, Bernhard
dcterms.isPartOf.ZSTitelID	Journal of Machine Learning Research	de_DE
dcterms.isPartOf.ZS-Issue	Article 1	de_DE
dcterms.isPartOf.ZS-Volume	17	de_DE