Graciela Boente
Graciela Lina Boente Boente | |
|---|---|
| Nationality | Argentine |
| Alma mater | University of Buenos Aires |
| Occupation | Mathematical statistician |
| Awards | Guggenheim Fellow |
Graciela Lina Boente Boente is an Argentine mathematical statistician at the University of Buenos Aires.[1] She is known for her research in robust statistics, and particularly for robust methods for principal component analysis and regression analysis.
Education[edit]
Boente earned her Ph.D. in 1983 from the University of Buenos Aires. Her dissertation, Robust Principal Components, was supervised by Victor J. Yohai.[2]
Awards and honors[edit]
Boente became a Guggenheim Fellow in 2001.[3] In 2008, the Argentine National Academy of Exact, Physical and Natural Sciences gave her their Consecration Prize in recognition of her contributions and teaching.[4][5] She became an honored fellow of the Institute of Mathematical Statistics in 2013, "for her research in robust statistics and estimation, and for outstanding service to the statistical community".[6]
References[edit]
- ^ Investigator profile, University of Buenos Aires, Institute of Mathematical Investigations, retrieved 2018-08-04
- ^ Graciela Boente at the Mathematics Genealogy Project
- ^ Graciela Lina Boente Boente, John Simon Guggenheim Memorial Foundation, retrieved 2018-08-04
- ^ "Premian a científicos destacados", La Nacion, December 9, 2008
- ^ Memoria 2008, Argentine National Academy of Exact, Physical and Natural Sciences, retrieved 2018-08-04
- ^ IMS Fellows 2013 (PDF), Institute of Mathematical Statistics, retrieved 2018-08-04
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