Sébastien Gadat

Sébastien Gadat, Thierry Klein, and Clément Marteau, “Classification with the nearest neighbor rule in general finite dimensional spaces”, Annals of Statistics, vol. 44, n. 3, 2016, pp. 982–1009.

Sébastien Gadat, Laurent Miclo, and Fabien Panloup, “A stochastic model for speculative bubbles”, Alea - Latin American Journal of Probability and Mathematical Statistics, vol. 12, n. 1, November 2015.

Nicolas Chopin, Sébastien Gadat, Benjamin Guedj, Arnaud Guyader, and Elodie Vernet, “On some recent advances in high dimensional Bayesian Statistics”, Esaim Proceedings and Surveys, vol. 51, October 2015, pp. 293–319.

Claire Christophe, Loïc Dupré, Sébastien Gadat, Delphine Guipouy, Sabina Müller, Salvatore Valitutti, Zilton Vasconcelos, and Wong Yu, “Individual Human Cytotoxic T Lymphocytes Exhibit Intraclonal Heterogeneity during Sustained Killing”, Cell Reports, vol. 11, n. 9, June 9, 2015, pp. 1474–1485.

Patrick Cattiaux, Claire Christophe, Loïc Dupré, Sébastien Gadat, Magda Rodrigues, and Salvatore Valitutti, “A biased competition model of dynamical cytotoxic T lymphocytes tumor nodule interaction”, Plos One, vol. 10, n. 3, March 27, 2015.

Magali Champion, Christine Cierco, Sébastien Gadat, and Matthieu Vignes, “Sparse regression and support recovery with L2-Boosting algorithms”, Journal of Statistical Planning and Inference, vol. 155, December 2014, pp. 19–41.

Sébastien Gadat, and Fabien Panloup, “Long time behavior and stationary regime of memory gradient diffusions”, Annales de l'Institut Henri Poincaré, vol. 50, n. 2, May 2014, pp. 564–601.

D. Dedieu, C. Delpierre, Sébastien Gadat, T. Lang, Benoît Lepage, and N. Savy, “Mixed hidden markov model for heterogeneous longitudinal data with missingness and errors in the outcome variable”, Journal de la Société Française de statistique, 2014.

Magali Champion, Gaelle Chastaing, Sébastien Gadat, and Clémentine Prieur, “L2-boosting on a generalized Hoeffding decomposition for dependent variables. Application to Sensitivity Analysis”, Statistica Sinica, 2014.

Dominique Bontemps, and Sébastien Gadat, “Posterior contraction rates on probability measures”, Electronic Journal of Statistics, vol. 8, n. 1, 2014, pp. 1522–1568.

Sébastien Gadat, Fabien Panloup, and C. Pellegrini, “Large deviation principle for invariant distributions of memory gradient diffusions”, Electronic Journal of Probability, vol. 18, 2013, pp. 1–34.

Jérémie Bigot, Sébastien Gadat, Thierry Klein, and Clément Marteau, “Intensity estimation of nonhomogeneous poisson processes from shifted trajectories”, Electronic Journal of Statistics, vol. 7, 2013, pp. 881–931.

S. Cohen, Sébastien Déjéan, and Sébastien Gadat, “Adaptive sequential design for regression on multiresolution bases”, Statistics and Computing, vol. 22, n. 2, 2012, pp. 753–772.

Sébastien Gadat, and Laurent Miclo, “Spectral decompositions and l2-operator norms of toy hypocoercive models”, Kinetic and Related Models, vol. 6, 2012, pp. 317–372.

Jérémie Bigot, Christophe Claire, and Sébastien Gadat, “Random action of compact lie groups and minimax estimation of a mean pattern”, IEEE Transactions on Information Theory, vol. 58, 2012, pp. 3509–3520.

T. Dkaki, Sébastien Gadat, J.M. Inglebert, Q.D. Truong, and Nathalie Villa, “Recherche et représentation de communautés dans un grand graphe : une approche combinée”, Document Numérique, vol. 14, 2011, pp. 59–80.

Jérémie Bigot, and Sébastien Gadat, “Pattern recognition through large deformations of images”, in Pattern Recognition, 2010.

Jérémie Bigot, and Sébastien Gadat, “A deconvolution approach to estimation of a common shape in a shifted curves model”, Annals of Statistics, vol. 38, n. 4, 2010, pp. 2422–2464.

Jérémie Bigot, and Sébastien Gadat, “Smoothing under diffeomorphic constraints with homeomorphic splines”, SIAM Journal On Numerical Analysis, vol. 48, n. 1, 2010, pp. 224–243.

Jérémie Bigot, Sébastien Gadat, and Clément Marteau, “Sharp template estimation in a shifted curves model”, Electronic Journal of Statistics, vol. 4, 2010, pp. 994–1021.