Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/141144
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dc.contributor.authorPeters, Jonas
dc.contributor.authorJanzing, Dominik
dc.contributor.authorSchölkopf, Bernhard
dc.date.accessioned2020-04-30T04:02:24Z-
dc.date.available2020-04-30T04:02:24Z-
dc.date.issued2017
dc.identifier.isbn9780262344296 9780262037310
dc.identifier.urihttps://oers.taiwanmooc.org/jspui/handle/123456789/141144-
dc.language.isoeng
dc.publisherThe MIT Press
dc.relation.urihttp://www.oapen.org/download/?type=document&docid=1004045
dc.rights.uriCC BY-NC-ND (姓名標示-非商業性-禁止改作)
dc.sourceDOAB
dc.subject.classificationComputer Science
dc.subject.otherCausality
dc.subject.othermachine learning
dc.subject.otherstatistical models
dc.subject.otherprobability theory
dc.subject.otherstatistics
dc.subject.otherassumptions
dc.subject.othercause-effect models
dc.subject.otherinterventions
dc.subject.othercounterfactuals
dc.subject.otherSCMs
dc.subject.othercause-effect models
dc.subject.otheridentifiability
dc.subject.othersemi-supervised learning
dc.subject.othercovariate shift
dc.subject.othermultivariate causal models
dc.subject.othermarkov
dc.subject.otherfaithfulness
dc.subject.othercausal minimality
dc.subject.otherdo-calculus
dc.subject.otherfalsifiability
dc.subject.otherpotential outcomes
dc.subject.otheralgorithmic independence
dc.subject.otherhalf-sibling regression
dc.subject.otherepisodic reinforcement learning
dc.subject.otherdomain adaptation
dc.subject.othersimpson's paradox
dc.subject.otherconditional independence
dc.subject.othercomputer science
dc.titleElements of Causal Inference
dc.type電子教科書
dc.classification自然科學類
Theme:教科書-自然科學類

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