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Sarah Ouadah

Assistant Professor / Maître de conférences

UMR MIA-Paris, AgroParisTech, INRAE, Université Paris-Saclay
Equipe SOLsTIS
22 Place de l'Agronomie
91 120 Palaiseau
name.surname@agroparistech.fr

Research interests

  • Random graphs models
  • Count data, dependencies, sparsity
  • Nonparametric statistics

 Application fields

  • Ecological networks
  • Social networks
  • Genomics

Preprints

  • M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, C. Bailly and L. Rajjou. Variable selection in sparse multivariate GLARMA models: Application to germination control by environment. Submitted, 2023 [web].

Papers

  1. M. Metodiev, M. Perrot-Dockès, S. Ouadah, N. J. Irons, P. Latouche, A. E. Raftery. Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator. Bayesian Analysis, 1(1), 1-28, 2024 [web].
  2. M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet. Sign-consistent estimation in a sparse Poisson model. Statistics & Probability Letters, 110107, 2024 [web].
  3. V. Labeyrie, S. Ouadah, C. Raimond. Social network analysis: which contributions to the analysis of agricultural systems resilience ? Agricultural Systems, 2024 [web].
  4. A. Porcuna-Ferrer, V. Labeyrie, S. Alvarez-Fernandez, L. Calvet-Mir, N. F. Faye, S. Ouadah, and V. Reyes-García. Seed circulation networks and farmers’ social-ecological resilience. A case study in south-eastern Senegal. Agricultural Systems, Volume 211, 2023 [web].
  5. M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, and T. Blein. Variable selection in sparse glarma models. Statistics, 1-30, 2022 [web].
  6. S. Ouadah, P. Latouche, and S.Robin. Motif-based tests for bipartite networks. Electronic Journal of Statistics,16(1), 293-330, 2022 [web].
  7. S. Romdhane, A. Spor, J. Aubert, D. Bru, M.C Breuil, S. Hallin, A. Mounier, S. Ouadah, M. Tsiknia, and L. Philippot. Unraveling biotic interactions determining soil microbial community assembly and functioning. ISME Journal, 1(16), 296-306, 2022 [web].
  8. S. Ouadah, S. Robin, and P. Latouche. Degree‐based goodness‐of‐fit tests for heterogeneous random graph models: Independent and exchangeable cases. Scandinavian Journal of Statistics, 47(1), 156-181, 2020 [web].
  9. V. Brault, S. Ouadah, L. Sansonnet, and C. Lévy-Leduc. Nonparametric homogeneity tests for analyzing large Hi-C data matrices. Journal of Multivariate Analysis, 165, 143-165, 2018 [web].
  10. P. Latouche, S. Robin, and S. Ouadah. Goodness of fit of logistic regression models for random graphs. Journal of Computational and Graphical Statistics, 27(1), 98-109, 2018 [web].
  11. S. Ouadah. Uniform-in-bandwidth nearest-neighbor density estimation. Statistics and Probability Letters, 83(8), 1835-1843, 2013 [web].
  12. S. Ouadah. Uniform-in-bandwidth kernel estimation for censored data. Journal of Statistical Planning and Inference, 143(8), 1273-1284, 2013 [web].
  13. P. Deheuvels, S. Ouadah. Uniform-in-bandwidth functional limit laws. Journal of Theoretical Probability, 26(3), 697-721, 2013 [web].
  14. P. Adamic, S. Ouadah. A kernel method for modelling interval censored competing risks. South African Statistical Journal, 43(1), 1-19, 2009 [web].

 

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