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A macroeconomic dataset is used to assess the effectiveness of learning non-stationary continuous time Bayesian networks from real-world data.","doi":"10.24963/ijcai.2018/804","url":"https://ijcai.org/proceedings/2018/804","pdf":"https://ijcai.org/proceedings/2018/0804.pdf","markdown":"https://ijcai.org/proceedings/2018/804.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/804","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Journal track","track":"Journal track","number":804,"pages":{"first":5656,"last":5660},"keywords":["Multidisciplinary Topics and Applications: Finance","Multidisciplinary Topics and Applications: Biology and Medicine","Uncertainty in AI: Bayesian Networks"],"videos":[],"references":[{"position":1,"raw":"[Acerbi et al., 2014] Enzo Acerbi, Teresa Zelante, Vipin Narang, and Fabio Stella. 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