Publication:

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

Date

2021
Proceedings Paper
https://doi.org/10.1007/978-3-030-88942-5_35
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dc.contributor.authorBussmann, Bart
dc.contributor.authorNys, Jannes
dc.contributor.authorLatre, Steven
dc.contributor.imecauthorBussmann, Bart
dc.contributor.imecauthorNys, Jannes
dc.contributor.imecauthorLatre, Steven
dc.contributor.orcidimecBussmann, Bart::0000-0002-2356-1973
dc.contributor.orcidimecNys, Jannes::0000-0001-7491-3660
dc.contributor.orcidimecLatre, Steven::0000-0003-0351-1714
dc.date.accessioned2023-01-06T11:16:23Z
dc.date.available2022-10-27T02:52:27Z
dc.date.available2022-10-27T13:14:28Z
dc.date.available2023-01-06T11:16:23Z
dc.date.embargo9999-12-31
dc.date.issued2021
dc.identifier.doi10.1007/978-3-030-88942-5_35
dc.identifier.eisbn978-3-030-88942-5
dc.identifier.isbn978-3-030-88941-8
dc.identifier.issn0302-9743
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40623
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage446
dc.source.conference24th International Conference on Discovery Science (DS)
dc.source.conferencedateOCT 11-13, 2021
dc.source.conferencelocationHalifax, Canada
dc.source.endpage460
dc.source.journalLecture Notes in Computer Science
dc.source.numberofpages15
dc.source.volume12986
dc.subject.disciplineComputer science/information technology
dc.title

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

dc.typeProceedings paper
dspace.entity.typePublication
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