Dominique Picard
French mathematician (born 1952)
From Wikipedia, the free encyclopedia
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 | March 3, 1952 |
| Alma mater | University of Paris-Sud |
| Scientific career | |
| Fields | Mathematics |
| Institutions | Paris Diderot University |
| Doctoral advisor | Didier 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] She was elected to the National Academy of Sciences as an International Member in 2023. [5]
Selected publications
With Valentine Genon-Catalot, Picard is the author of a book on asymptotic theory in statistics, Elements De Statistique Asymptotique (Springer, 1993).[6]
With Wolfgang Härdle, Gerard Kerkyacharian, and Alexander Tsybakov, she is the author of Wavelets, Approximation, and Statistical Applications (Springer, Lecture Notes in Statistics, 1998).[7]
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.[8]
