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dc.contributor.authorKleiman-Weiner, Max
dc.contributor.authorTenenbaum, Joshua B.
dc.contributor.authorZhou, Penghui
dc.date.accessioned2022-03-02T18:30:33Z
dc.date.available2022-03-02T18:30:33Z
dc.date.issued2018-09-13
dc.identifier.issn1368-4221
dc.identifier.urihttps://hdl.handle.net/1721.1/140918
dc.languageen
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1111/ectj.12112en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceWileyen_US
dc.titleNon-parametric Bayesian inference of strategies in repeated gamesen_US
dc.title.alternativeNon-parametric Bayesian inference of strategiesen_US
dc.typeArticleen_US
dc.identifier.citationKleiman-Weiner, Max, Tenenbaum, Joshua B. and Zhou, Penghui. 2018. "Non-parametric Bayesian inference of strategies in repeated games." The Econometrics Journal, 21 (3).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.relation.journalThe Econometrics Journalen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2022-02-10T18:23:27Z
mit.journal.volume21en_US
mit.journal.issue3en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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