En naviguant sur notre site vous acceptez l'installation et l'utilisation des cookies sur votre ordinateur. En savoir +

Menu Logo Principal AgroParisTech

MIA Paris

Sarah Ouadah

Assistant Professor / Maître de conférences

UMR518 AgroParisTech/INRA
Stat & Génome
16 rue Claude Bernard
75 231 Paris Cedex 05
name.surname@agroparistech.fr

Research interests

  • Random graphs models
  • Nonparametric statistics
  • Unsupervised statistical learning
  • Empirical processes
  • Survival analysis

Publications

  • Latouche, P., Robin, S. and Ouadah, S. (2017). Goodness of fit of logistic regression models for random graphs. Journal of Computational and Graphical Statistics, (just-accepted).
  • Ouadah, S., Robin, S. and Latouche, P. (2017). Degree-based goodness-of-fit tests for heterogeneous
    random graph models : independent and exchangeable, submitted, ArXiv-preprint:1507.08140v2.
  • Brault, V., Ouadah, S., Sansonnet, L. and Lévy-Leduc, C. (2016). Nonparametric homogeneity tests for analyzing large Hi-C data matrices, submitted, ArXiv-preprint:1605.03751v1.
  • Ouadah, S. (2013). Uniform-in-bandwidth nearest-neighbor density estimation. Statistics and Probability Letters, 83, no. 8, 1835-1843.
  • Ouadah, S. (2013). Uniform-in-bandwidth kernel estimation for censored data. Journal of Statistical Planning and Inference, 143, no. 8, 1273-1284.
  • Deheuvels, P., Ouadah, S. (2013). Uniform-in-bandwidth functional limit laws. Journal of Theoretical Probability, Volume 26, Issue 3, 697-721.
  • Adamic, P., Ouadah, S. (2009). A kernel method for modelling interval censored competing risks. South African Statistical Journal, 43, no. 1, 1-19.