dc.contributor.author | Perrone, Elisa | |
dc.contributor.author | Solus, Liam | |
dc.contributor.author | Uhler, Caroline | |
dc.contributor.author | Uhler, Caroline | |
dc.date.accessioned | 2021-03-11T20:53:29Z | |
dc.date.available | 2021-03-11T20:53:29Z | |
dc.date.issued | 2019-07 | |
dc.date.submitted | 2018-03 | |
dc.identifier.issn | 0047-259X | |
dc.identifier.uri | https://hdl.handle.net/1721.1/130120 | |
dc.description.abstract | The space of discrete copulas admits a representation as a convex polytope, and this has been exploited in entropy-copula methods used in hydrology and climatology. In this paper, we focus on the class of component-wise convex copulas, i.e., ultramodular copulas, which describe the joint behavior of stochastically decreasing random vectors. We show that the family of ultramodular discrete copulas and its generalization to component-wise convex discrete quasi-copulas also admit representations as polytopes. In doing so, we draw connections to the Birkhoff polytope, the alternating sign matrix polytope, and their generalizations, thereby unifying and extending results on these polytopes from both the statistics and the discrete geometry literature. | en_US |
dc.description.sponsorship | NSF (Grant DMS-1651995) | en_US |
dc.description.sponsorship | ONR (Grant N00014-17-1-2147) | en_US |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | https://doi.org/10.1016/j.jmva.2019.01.014 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | Prof. Uhler via Phoebe Ayers | en_US |
dc.title | Geometry of discrete copulas | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Perrone, Elisa et al. "Geometry of discrete copulas." Journal of Multivariate Analysis 172 (July 2019): 162-179 © 2019 Elsevier | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.relation.journal | Journal of Multivariate Analysis | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.date.submission | 2021-03-05T16:54:24Z | |
mit.journal.volume | 172 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |