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Graciela Boente

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Graciela Lina Boente Boente
NationalityArgentine
Alma materUniversity of Buenos Aires
OccupationMathematical statistician
AwardsGuggenheim 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

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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

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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

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  1. ^ Investigator profile, University of Buenos Aires, Institute of Mathematical Investigations, retrieved 2018-08-04
  2. ^ Graciela Boente at the Mathematics Genealogy Project
  3. ^ Graciela Lina Boente Boente, John Simon Guggenheim Memorial Foundation, retrieved 2018-08-04
  4. ^ "Premian a científicos destacados", La Nacion, December 9, 2008, archived from the original on September 26, 2022, retrieved August 5, 2018
  5. ^ Memoria 2008, Argentine National Academy of Exact, Physical and Natural Sciences, archived from the original on 2018-08-05, retrieved 2018-08-04
  6. ^ IMS Fellows 2013 (PDF), Institute of Mathematical Statistics, retrieved 2018-08-04