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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.provenance | Universidad de San Andrés | - |
| dc.creator | Fraiman, Ricardo | - |
| dc.creator | Svarc, Marcela | - |
| dc.date.accessioned | 2018-05-04T16:44:51Z | - |
| dc.date.accessioned | 2018-05-14T17:20:53Z | - |
| dc.date.available | 2018-05-04T16:44:51Z | - |
| dc.date.available | 2018-05-14T17:20:53Z | - |
| dc.date.issued | 2012-07-06 | - |
| dc.identifier.uri | http://10.0.0.11:8080/jspui/handle/bnmm/53059 | - |
| dc.description | We herein propose a new robust estimation method based on random pro- jections that is adaptive and, automatically produces a robust estimate, while enabling easy computations for high or in nite dimensional data. Under some re- stricted contamination models, the procedure is robust and attains full e ciency. We tested the method using both simulated and real data. | - |
| dc.language | en | - |
| dc.source.uri | http://hdl.handle.net/10908/637 | - |
| dc.title | Resistant estimates for high dimensional and functional data based on random projections | - |
| dc.type | Article | - |
| Aparece en las colecciones: | Universidad de San Andrés | |
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