| dc.contributor.author | Bertsimas, Dimitris | |
| dc.contributor.author | Pauphilet, Jean | |
| dc.contributor.author | Van Parys, Bart | |
| dc.date.accessioned | 2022-07-27T16:05:12Z | |
| dc.date.available | 2022-07-27T16:05:12Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/144072 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Mathematical Statistics | en_US |
| dc.relation.isversionof | 10.1214/19-STS701 | 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 | MIT web domain | en_US |
| dc.title | Sparse Regression: Scalable Algorithms and Empirical Performance | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Bertsimas, Dimitris, Pauphilet, Jean and Van Parys, Bart. 2020. "Sparse Regression: Scalable Algorithms and Empirical Performance." Statistical Science, 35 (4). | |
| dc.contributor.department | Massachusetts Institute of Technology. Operations Research Center | |
| dc.relation.journal | Statistical Science | 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 |
| dc.date.updated | 2022-07-27T15:46:26Z | |
| dspace.orderedauthors | Bertsimas, D; Pauphilet, J; Van Parys, B | en_US |
| dspace.date.submission | 2022-07-27T15:46:27Z | |
| mit.journal.volume | 35 | en_US |
| mit.journal.issue | 4 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
