Homepage of Ousmane Sacko

I am a Teaching and Research Assistant at the MAP5 Laboratory (UMR 8145), Université de Paris. I defended my PhD thesis in applied mathematics (mathematical statistics) on November, 15th 2021 at the MAP5 Laboratory, under the supervision of Fabienne Comte and Céline Duval.

You can find my thesis [here].

My CV (in French) can be downloaded [ here].

• Nonparametric estimation
• Inverse problems, deconvolution
• Nonparametric regression
• Adaptive estimation: model selection, Goldenshluger and Lepski's method
• Minimax optimal rates

• Hermite estimation in noisy convolution model. Sacko, O. Preprint hal-03517620, 1-46 (2022).
• Optimal adaptive estimation on R or R^+ of the derivatives of a density. F. Comte, C. Duval and O. Sacko. Mathematical Methods of Statistics, 29, 1, 1-31, 2020.
• Hermite density deconvolution. O. Sacko. ALEA, Lat. Am. J. Probab. Math. Stat. 17, 419-443 (2020). hal-01978591

  Thesis Manuscript

• Projection estimation for inverse problems on Laguerre and Hermite spaces [available here]. O. Sacko. PhD Thesis (2021). [Slides]

• Séminaire de statistique du MAP5, Paris, France, October 2020. (Slides)
• 52èmes Journées de Statistique de la SFdS, Nancy, May 2020 (deferred in 2021). Optimal adaptive estimation on R or R^+ of the derivatives of a density. (Link, p. 206-211)
• StatMathAppli, Fréjus, France, September 2019. Optimal estimation of the derivatives of a density. (Abstract)
• 51èmes Journées de Statistique de la SFdS, Nancy, June 2019. Hermite density deconvolution. (Link)

• 2021-2022 TD d’Algèbre 3, UFR Maths-Info Université Paris, L2 Mathématiques Applications et Enseignement (42h).
• 2021-2022 TD de Mathématiques et Calcul 1, UFR Maths-Info Université Paris, L1 Mathématiques et Informatique (2x60h).
• 2018-2021 TD Mathématiques et Calculs 1, UFR Maths-Info Université Paris Descartes, L1 Mathématiques et Informatique (64 heures par an).

• E-mail: ousmane.sacko@u-paris.fr
• Adress: Université de Paris, Laboratoire MAP5, 45 rue des Saints-Pères, 75006 Paris, France.
• Office: 725-A1
• Phone: +33(0) 1 76 53 03 90