• 
  Aya El Dakdouki, Yann Guermeur, Nicolas Wicker. Consolidation Kernel. 2024. ⟨hal-04774707⟩
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  Lies Hadjadj, Massih-Reza Amini, Sana Louhichi. Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. Thirty-Second International Joint Conference on Artificial Intelligence IJCAI-23, Aug 2023, Macau, China. pp.3777-3785, ⟨10.24963/IJCAI.2023/420⟩. ⟨hal-04763760⟩
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  Loïc Hervé, Sana Louhichi, Françoise Pene. Multiplicative ergodicity of Laplace transforms for additive functional of Markov chains. ESAIM: Probability and Statistics, 2019, 23, pp.607-637. ⟨10.1051/ps/2019003⟩. ⟨hal-02317232⟩
• 
  Sana Louhichi. Sharp rates of convergence in the Hausdorff metric for compactly supported stationary Markov chains or stationary $\beta$-mixing sequences. 2024. ⟨hal-04720317⟩
• 
  Sara Mazzonetto, Alexis Anagnostakis. Sticky-threshold diffusions, local time approximation and parameter estimation. 2024. ⟨hal-04503682v2⟩
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  Sana Louhichi. Guide pour une leçon de modélisation stochastique. Modèle linéaire et modèle linéaire gaussien : calculs par moindres carrés et par maximum de vraisemblance. Applications. Master. France. 2024. ⟨hal-04520571⟩
• 
  Jean-Michel Billiot, Eric Fontenas. Criteria for a split real polynomial. 2024. ⟨hal-04488836⟩
• 
  Éric Bonnetier, Pierre Etoré, Miguel Martinez. A probabilistic representation of the solution to a 1D evolution equation in a medium with negative index. 2024. ⟨hal-03687817v2⟩
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  Sadok Kallel, Sana Louhichi. Topological reconstruction of compact supports of dependent stationary random variables. Advances in Applied Probability, 2024, 56 (4), pp.1339-1369. ⟨10.1017/apr.2024.4⟩. ⟨hal-04366871⟩
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  Sana Louhichi. Guide pour une leçon de modélisation stochastique. Fonctions de répartition empiriques. Tests de Kolmogorov-Smirnov. Estimation des quantiles. Master. France. 2023. ⟨hal-04365615⟩
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  Pierre Etoré, Jose R León, Clémentine Prieur. A probabilistic point of view for the Kolmogorov hypoelliptic equations. ESAIM: Probability and Statistics, 2023, 27, pp.668-693. ⟨10.1051/ps/2023007⟩. ⟨hal-03342958v2⟩
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  Pierre Etoré, Miguel Martinez. Stochastic processes associated to multidimensional parabolic transmission problems in divergence form. ALEA : Latin American Journal of Probability and Mathematical Statistics, 2023, 20, pp.291-311. ⟨10.30757/ALEA.v20-11⟩. ⟨hal-02531467v3⟩
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  Lies Hadjadj, Massih-Reza Amini, Sana Louhichi, Alexis Deschamps. Auto-apprentissage de demi-espaces avec des garanties de généralisation sous le modèle de bruit de Massart. Conférence sur l'Apprentissage Automatique (CAp), Jul 2022, Vannes, France. ⟨hal-03723453⟩
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  Corinne Berzin, Alain Latour, José León. Kac-Rice Formula: A contemporary overview of the main results and applications. 2022. ⟨hal-03665428⟩
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  Ester Mariucci. Asymptotic equivalence for density estimation and Guassian white noise: an extension. Annales de l'ISUP, 2016, 60 (1-2), pp.23-34. ⟨hal-01132442v2⟩
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  Corinne Berzin. Estimation of local anisotropy based on level sets. Electronic Journal of Probability, 2021, 26, pp.1-72. ⟨10.1214/21-EJP721⟩. ⟨hal-01676491v4⟩
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  Karim Benhenni, Ali Hajj Hassan, Yingcai Su. Local polynomial estimation of regression operators from functional data with correlated errors. Journal of Multivariate Analysis, 2019, 170, pp.80-94. ⟨10.1016/j.jmva.2018.10.008⟩. ⟨hal-01927109⟩
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  Karim Benhenni, Didier A. Girard, Sana Louhichi. On the excess of average squared error for data-driven bandwidths in nonparametric trend estimation. Advances in Pure and Applied Mathematics, 2021, 12 (N° Spécial ), pp.15-35. ⟨10.21494/ISTE.OP.2021.0696⟩. ⟨hal-02889802v2⟩
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  Karim Benhenni, Didier A. Girard, Sana Louhichi. On bandwidth selection problems in nonparametric trend estimation under martingale difference errors. Bernoulli, 2022, 28 (1), pp.395-423. ⟨10.3150/21-BEJ1347⟩. ⟨hal-02514827v2⟩
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  Pierre Etoré, Miguel Martinez. A transformed stochastic Euler scheme for multidimensional transmission PDE. Journal of Computational and Applied Mathematics, 2021, 394, pp.113551:1-28. ⟨10.1016/j.cam.2021.113551⟩. ⟨hal-01800305v4⟩

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