Sangam: A Confluence of Knowledge Streams

A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions

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dc.contributor Massachusetts Institute of Technology. Department of Materials Science and Engineering
dc.creator Bhuwalka, Karan
dc.creator Choi, Eunseo
dc.creator Moore, Elizabeth A
dc.creator Roth, Richard
dc.creator Kirchain, Randolph E
dc.creator Olivetti, Elsa A
dc.date 2023-02-10T14:30:45Z
dc.date 2023-02-10T14:30:45Z
dc.date 2022
dc.date 2023-02-10T14:24:59Z
dc.date.accessioned 2023-02-17T19:53:53Z
dc.date.available 2023-02-17T19:53:53Z
dc.identifier https://hdl.handle.net/1721.1/148005
dc.identifier Bhuwalka, 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.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/242042
dc.format application/pdf
dc.language en
dc.publisher Wiley
dc.relation 10.1111/JIEC.13339
dc.relation Journal of Industrial Ecology
dc.rights Creative Commons Attribution NonCommercial License 4.0
dc.rights https://creativecommons.org/licenses/by-nc/4.0/
dc.source Wiley
dc.title A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions
dc.type Article
dc.type http://purl.org/eprint/type/JournalArticle


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