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dc.contributor.authorBhuwalka, Karan
dc.contributor.authorChoi, Eunseo
dc.contributor.authorMoore, Elizabeth A
dc.contributor.authorRoth, Richard
dc.contributor.authorKirchain, Randolph E
dc.contributor.authorOlivetti, Elsa A
dc.date.accessioned2023-02-10T14:30:45Z
dc.date.available2023-02-10T14:30:45Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/148005
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1111/JIEC.13339en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceWileyen_US
dc.titleA hierarchical Bayesian regression model that reduces uncertainty in material demand predictionsen_US
dc.typeArticleen_US
dc.identifier.citationBhuwalka, Karan, Choi, Eunseo, Moore, Elizabeth A, Roth, Richard, Kirchain, Randolph E et al. 2022. "A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions." Journal of Industrial Ecology.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.relation.journalJournal of Industrial Ecologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-02-10T14:24:59Z
dspace.orderedauthorsBhuwalka, K; Choi, E; Moore, EA; Roth, R; Kirchain, RE; Olivetti, EAen_US
dspace.date.submission2023-02-10T14:25:00Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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