Dominique Picard

Dominique Brigitte Picard (born March 3, 1952) is a French mathematician who works as a professor in the Laboratoire de Probabilités et Modèles Aléatoires of Paris Diderot University.[1] Her research concerns the statistical applications of wavelets.

Dominique B. Picard
Born (1952-03-03) March 3, 1952
NationalityFrench
Alma materUniversity of Paris-Sud
Scientific career
FieldsMathematics
InstitutionsParis Diderot University
Doctoral advisorDidier Dacunha-Castelle

Education

Picard's doctoral advisor was Didier Dacunha-Castelle.[2]

Recognition

She was an invited speaker at the International Congress of Mathematicians in 2006, in the section on probability and statistics.[3] At the congress, she spoke on her work with Gérard Kerkyacharian on "Estimation in inverse problems and second-generation wavelets".[4]

Selected publications

With Valentine Genon-Catalot, Picard is the author of a book on asymptotic theory in statistics, Elements De Statistique Asymptotique (Springer, 1993).[5]

With Wolfgang Härdle, Gerard Kerkyacharian, and Alexander Tsybakov, she is the author of Wavelets, Approximation, and Statistical Applications (Springer, Lecture Notes in Statistics, 1998).[6]

She is also the coauthor of a highly-cited paper in the Journal of the Royal Statistical Society (1995) surveying the wavelet-shrinkage method for nonparametric curve estimation.[7]

References

  1. Faculty profile Archived 2016-08-18 at the Wayback Machine, LPMA, retrieved 2016-07-02.
  2. Dominique Picard at the Mathematics Genealogy Project
  3. ICM Plenary and Invited Speakers since 1897, International Mathematical Union, retrieved 2018-10-31.
  4. ICM 2006 Proceedings Volume 3, retrieved 2018-10-31.
  5. Review of Elements De Statistique Asymptotique by Philippe Barbe (1999), MR1618701.
  6. Review of Wavelets, Approximation, and Statistical Applications by José Rafael León (1999), MR1618204.
  7. Donoho, David L.; Johnstone, Iain M.; Kerkyacharian, Gérard; Picard, Dominique (1995), "Wavelet shrinkage: asymptopia?", Journal of the Royal Statistical Society, 57 (2): 301–369, JSTOR 2345967, MR 1323344


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