Notice
This is not the latest version of this item. The latest version can be found at:https://dspace.mit.edu/handle/1721.1/126719.2
Exact recovery in the Ising blockmodel
| dc.contributor.author | Rigollet, Philippe | |
| dc.date.accessioned | 2020-08-21T13:40:44Z | |
| dc.date.available | 2020-08-21T13:40:44Z | |
| dc.date.submitted | 2017-02 | |
| dc.identifier.issn | 0090-5364 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/126719 | |
| dc.description.abstract | We consider the problem associated to recovering the block structure of an Ising model given independent observations on the binary hypercube. This new model, called the Ising blockmodel, is a perturbation of the mean field approximation of the Ising model known as the Curie-Weiss model: the sites are partitioned into two blocks of equal size and the interaction between those of the same block is stronger than across blocks, to account for more order within each block. We study probabilistic, statistical and computational aspects of this model in the high-dimensional case when the number of sites may be much larger than the sample size. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Grants DMS-154109, DMS-154110) | en_US |
| dc.description.sponsorship | United States. Defense Advanced Research Projects Agency (Grant DARPA-BAA-16-46) | en_US |
| dc.language.iso | en | |
| dc.publisher | Institute of Mathematical Statistics | en_US |
| dc.relation.isversionof | 10.1214/17-AOS1620 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | Exact recovery in the Ising blockmodel | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Berthet, Quentin, Philippe Rigollet and Piyush Srivastava. “Exact recovery in the Ising blockmodel.” The annals of statistics, 47, 4 (February 2019): 1805-1834 © 2019 The Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mathematics | en_US |
| dc.relation.journal | The annals of statistics | en_US |
| dc.eprint.version | Original manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2019-11-19T18:35:06Z | |
| dspace.date.submission | 2019-11-19T18:35:20Z | |
| mit.journal.volume | 47 | en_US |
| mit.journal.issue | 4 | en_US |
