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dc.contributor.authorAgarwal, Anish
dc.contributor.authorAlomar, Abdullah
dc.contributor.authorShah, Devavrat
dc.date.accessioned2022-11-10T14:11:30Z
dc.date.available2022-11-10T14:11:30Z
dc.date.issued2022-06-06
dc.identifier.isbn978-1-4503-9141-2
dc.identifier.urihttps://hdl.handle.net/1721.1/146300
dc.publisherACM|Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3489048.3526952en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systemsen_US
dc.titleOn Multivariate Singular Spectrum Analysis and Its Variantsen_US
dc.typeArticleen_US
dc.identifier.citationAgarwal, Anish, Alomar, Abdullah and Shah, Devavrat. 2022. "On Multivariate Singular Spectrum Analysis and Its Variants."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T01:05:27Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T01:05:28Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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