Nombre de documents

18

CV Lerasle


Article dans une revue10 documents

  • Magalie Fromont, Matthieu Lerasle, Patricia Reynaud-Bouret. Family wise separation rates for multiple testing. Annals of Statistics, Institute of Mathematical Statistics, 2016, 44 (6), pp.2533-2563. 〈10.1214/15-AOS1418〉. 〈hal-01107321〉
  • Luc Devroye, Matthieu Lerasle, Gabor Lugosi, Roberto I. Oliveira. Sub-Gaussian mean estimators. Annals of Statistics, Institute of Mathematical Statistics, 2016, 〈10.1214/16-AOS1440〉. 〈hal-01204519〉
  • Matthieu Lerasle, D.Y. Takahashi. Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields.. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2016, 22 (1), pp.325-344. 〈10.3150/14-BEJ660〉. 〈hal-01059692〉
  • Sandro Gallo, Matthieu Lerasle, D.Y. Takahashi. Markov approximation of chains of infinite order in the $\bar{d}$-metric. Markov Processes and Related Fields, Polymath, 2013, 19 (1), pp.51--82. 〈hal-00913858〉
  • Matthieu Lerasle. Optimal model selection for stationary data under various mixing conditions. Annals of Statistics, Institute of Mathematical Statistics, 2012, 39 (4), pp.1852-1877. 〈10.1214/11-AOS888SUPP〉. 〈hal-00430463〉
  • Matthieu Lerasle. Adaptive non-asymptotic confidence balls in density estimation. ESAIM: Probability and Statistics, EDP Sciences, 2012, 16 (1), ps0852. 〈10.1051/ps/2010012〉. 〈hal-00913641〉
  • Matthieu Lerasle. Optimal model selection in density estimation. Annales de l'IHP - Probabilités et Statistiques, 2012, 48 (3), pp.884--908. 〈10.1214/11-AIHP425〉. 〈hal-00422655〉
  • Matthieu Lerasle. Optimal model selection for density estimation of stationary data under various mixing conditions. Annals of Statistics, Institute of Mathematical Statistics, 2011, 39 (4), pp.1852-1877. 〈10.1214/11-AOS888SUPP〉. 〈hal-00656405〉
  • Matthieu Lerasle, D.Y. Takahashi. An Oracle Approach for Interaction Neighborhood Estimation in Random Field. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.534-571. 〈10.1214/11-EJS618〉. 〈hal-00913724〉
  • Matthieu Lerasle. Adaptive density estimation for stationary processes. Mathematical Methods of Statistics, Allerton Press, Springer (link), 2009, 18 (1), pp.59--83. 〈10.3103/S1066530709010049〉. 〈hal-00413692〉

Communication dans un congrès2 documents

  • Alexandre Muzy, Matthieu Lerasle, Franck Grammont, Van Toan Dao, David Hill. Parallel and pseudorandom discrete event system specification vs. networks of spiking neurons: Formalization and preliminary implementation results. The 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), International Workshop on Parallel Computations for Neural Networks (PCNN 2016), Jul 2016, Innsbruck, Austria. 〈http://hpcs2016.cisedu.info/〉. 〈hal-01316924〉
  • Magalie Fromont, Béatrice Laurent, Matthieu Lerasle, Patricia Reynaud-Bouret. Kernels based tests with non-asymptotic bootstrap approaches for two-sample problem. Shie Mannor, Nathan Srebro, Robert C. Williamson. 25th Annual Conference on Learning Theory, Jun 2012, Edimbourg, United Kingdom. 23, pp.23.1-23.22. 〈hal-00913879〉

Pré-publication, Document de travail6 documents

  • Roland Diel, Sylvain Le Corff, Matthieu Lerasle. Learning latent structure of large random graphs. 2017. 〈hal-01552494〉
  • Guillaume Lecué, Matthieu Lerasle. Learning from MOM's principles : Le Cam's approach. 2017. 〈hal-01564223〉
  • Roland Diel, Matthieu Lerasle. Non parametric estimation for random walks in random environment. 2016. 〈hal-01330523〉
  • Raphael Chetrite, Roland Diel, Matthieu Lerasle. The number of potential winners in Bradley-Terry model in random environment. 2015. 〈hal-01204517v2〉
  • Matthieu Lerasle, Nelo Magalhães, Patricia Reynaud-Bouret. Optimal kernel selection for density estimation. 2015. 〈hal-01224097〉
  • Sylvain Arlot, Matthieu Lerasle. Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. 2015. 〈hal-00743931v3〉