Graciela Boente

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
NationalityArgentine
Alma materUniversity of Buenos Aires
OccupationMathematical statistician
AwardsGuggenheim 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]

References
  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
  5. Memoria 2008, Argentine National Academy of Exact, Physical and Natural Sciences, retrieved 2018-08-04
  6. IMS Fellows 2013 (PDF), Institute of Mathematical Statistics, retrieved 2018-08-04


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