Graciela Boente

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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.

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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]

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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