Optimal detection of sparse principal components in high dimension
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Year
: 2013DOI: 10.1214/13-AOS1127
Keyword(s): High,sparse principal component analysis,spiked covariance model,semidefinite relaxation,minimax lower bounds,planted clique
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Optimal detection of sparse principal components in high dimension
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| contributor author | Berthet, Quentin - Rigollet, Philippe | |
| date accessioned | 2020-03-11T01:45:11Z | |
| date available | 2020-03-11T01:45:11Z | |
| date issued | 2013 | |
| identifier issn | 0090-5364 | |
| identifier other | euclid.aos.1378386239.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/375358?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | The Institute of Mathematical Statistics | |
| title | Optimal detection of sparse principal components in high dimension | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 2414157 | |
| subject keywords | High | |
| subject keywords | sparse principal component analysis | |
| subject keywords | spiked covariance model | |
| subject keywords | semidefinite relaxation | |
| subject keywords | minimax lower bounds | |
| subject keywords | planted clique | |
| identifier doi | 10.1214/13-AOS1127 | |
| journal title | The Annals of Statistics | |
| journal volume | 41 | |
| journal issue | 4 | |
| filesize | 411210 | |
| citations | 0 |