Exact recovery in the Ising blockmodel
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 a...
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Institute of Mathematical Statistics
2020
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Online Access: | https://hdl.handle.net/1721.1/126719 |
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author | Rigollet, Philippe |
author2 | Massachusetts Institute of Technology. Department of Mathematics |
author_facet | Massachusetts Institute of Technology. Department of Mathematics Rigollet, Philippe |
author_sort | Rigollet, Philippe |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T08:43:35Z |
format | Article |
id | mit-1721.1/126719 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T08:43:35Z |
publishDate | 2020 |
publisher | Institute of Mathematical Statistics |
record_format | dspace |
spelling | mit-1721.1/1267192020-08-22T03:33:50Z Exact recovery in the Ising blockmodel Rigollet, Philippe Massachusetts Institute of Technology. Department of Mathematics 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. National Science Foundation (U.S.) (Grants DMS-154109, DMS-154110) United States. Defense Advanced Research Projects Agency (Grant DARPA-BAA-16-46) 2020-08-21T13:40:44Z 2020-08-21T13:40:44Z 2017-02 2019-11-19T18:35:06Z Article http://purl.org/eprint/type/JournalArticle 0090-5364 https://hdl.handle.net/1721.1/126719 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 10.1214/17-AOS1620 The annals of statistics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Mathematical Statistics arXiv |
spellingShingle | Rigollet, Philippe Exact recovery in the Ising blockmodel |
title | Exact recovery in the Ising blockmodel |
title_full | Exact recovery in the Ising blockmodel |
title_fullStr | Exact recovery in the Ising blockmodel |
title_full_unstemmed | Exact recovery in the Ising blockmodel |
title_short | Exact recovery in the Ising blockmodel |
title_sort | exact recovery in the ising blockmodel |
url | https://hdl.handle.net/1721.1/126719 |
work_keys_str_mv | AT rigolletphilippe exactrecoveryintheisingblockmodel |