Graciela Boente
Argentine mathematical statistician
From Wikipedia, the free encyclopedia
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.
Graciela Lina Boente Boente | |
|---|---|
| Alma mater | University of Buenos Aires |
| Occupation | Mathematical statistician |
| Awards | Guggenheim Fellow |
Education
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
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]
