Page de Clément Marteau

Liste de publications

L. Castelli, I. Gannaz and C. Marteau. A non-asymptotic upper bound in prediction for the PLS estimator. Travail en cours.
L. Castelli, I. Gannaz and C. Marteau. A non-asymptotic analysis of the single component PLS regression. Soumis.
Y. De Castro, S. Gadat and C. Marteau. Over-parametrized stochastic random feature gradient descent for sparse optimization on measures. Soumis.
L. Alsouki, L. Duval, C. Marteau, R. El Haddad, F. Wahl. Dual-sPLS: a family of dual sparse partial least squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) spectra. Chemometrics and Intelligent Laboratory systems, 237 (2023).
C. Marteau and M. Sart. Deconvolution for some singular density errors via a combinatorial median of means approach. Mathematical Statistics and Learning, 6 (2023), pp. 51-85.
Y. De Castro, S. Gadat, C. Marteau and C. Maugis-Rabusseau. Supermix: sparse regularization for mixtures. The Annals of Statistics, 49 (2021), pp. 1779-1809.
S. Gadat, S. Gerchinovitz and C. Marteau. Optimal supervised functional classificaiton with separation conditions. Bernoulli, 26 (2020), pp. 1797-1831.
S. Gadat, C. Marteau and C. Maugis-Rabusseau. Parameter recovery in two-component contamination mixtures: The L2 strategy. Annales de l'IHP Série B, 56 (2020), pp. 1391-1418.
L. Gilquin, P. Lecomte, J. Antoni, T. Le Magueresse and C. Marteau. Iterative positionning of microphone arrays for acoustic imaging. Journal of Sound and Vibration, 469 (2020).
L. Gilquin, S. Bouley, J. Antoni, T. Le Magueresse and C. Marteau. Sensitivity analysis of two inverse methods: Conventional Beamforming and Bayesian focusing. Journal of Sound and Vibration, 455 (2019), pp. 188-202.
F. Autin, M. Clausel, J-M. Freyermuth and C. Marteau. Maxiset point of view for signal detection in inverse problems. Mathematical Methods of Statistics, 28 (2019), pp. 228-242.
J.M. Loubes, C. Marteau and M. Solís. Rates of convergence in conditional covariance matrix estimation. Communication in Statistics - Theory and Methods (2019). Correctif à venir...
B. Laurent, C. Marteau and C. Maugis-Rabusseau. Multidimensional two component Gaussian mixtures detection . Annales de l'IHP Série B, 54 (2018), pp. 842-865.
C. Marteau and T. Sapatinas. Minimax signal detection under weak noise assumptions. Mathematical Methods of Statistics, 26 (2017), pp. 282-298.
C. Marteau and T. Sapatinas. Minimax goodness-of-fit testing in ill-posed inverse problems with partially unknown operators . Annales de l'IHP, Série B, 53 (2017), pp. 1675-1718.
S. Gadat, T. Klein and C. Marteau. Classification in general finite dimensional spaces with the k-nearest neighbor rule . Annals of Statistics, 44 (2016), pp. 982-1009.
C. Marteau and T. Sapatinas . A unified treatment for non-asymptotic and asymptotic approaches to minimax signal detection . Statistics Surveys, 9 (2015), pp. 253-297.
S. Loustau and C. Marteau. Noisy discriminant analysis with boundary assumptions . Journal of Nonparametric Statistics, 27 (2015), pp. 425-441.
Y. Ingster, B. Laurent and C. Marteau. Signal detection for inverse problems in a multidimensional framework . Mathematical Methods of Statistics, 23 (2014), pp. 279-305.
C. Marteau and P. Mathé . General regularization schemes for signal detection in inverse problems. Mathematical Methods of Statistics, 23 (2014), pp. 176-200.
B. Laurent, C. Marteau and C. Maugis-Rabusseau. Non-asymptotic detection of mixtures with unknown mean. Bernoulli, 22 (2016), pp. 242-274.
J.M. Loubes and C. Marteau. Goodness-of-fit testing strategies from indirect observations . Journal of Nonparametric Statistics, 26 (2014), pp. 85-99.
S. Loustau and C. Marteau. Minimax fast rates for discriminant analysis with errors in variables . Bernoulli, 21 (2015), pp. 176-208.
J. Bigot, S. Gadat, T. Klein and C. Marteau. Intensity estimation of inhomogeneous Poisson processes from shifted trajectories . Electronic Journal of Statistics, 7 (2013), pp. 881-931.
B. Laurent, J.M. Loubes and C. Marteau. Testing inverse problems: a direct or an indirect problem? Journal of Statistical Planning and Inference, 141 (2011), pp. 1849-1861.
B. Laurent, J.M. Loubes and C. Marteau. Non asymptotic minimax rates of testing in signal detection with heterogeneous variances . Electronic Journal of Statistics, 6 (2012), pp. 91-122.
J.M. Loubes and C. Marteau. Adaptive estimation for an inverse regression model with unknown operator . Statistics and Risk Modeling, 29 (2012), pp. 215-242.
J. Bigot, S. Gadat and C. Marteau. Sharp template estimation in a shifted curves model . Electronic Journal of Statistics, 4 (2010), pp. 994-1021.
C. Marteau. The Stein hull . Journal of Nonparametric Statistics, 22 (2010), pp. 685-702.
C. Marteau. Risk hull method for spectral regularization in linear statistical inverse problems . ESAIM P&S, 14 (2010), pp. 409-434.

C. Marteau. On the stability of the risk hull method for projection estimators . Journal of Statistical Planning and Inference, 139 (2009), pp. 1821-1835.
C. Marteau. Regularization of inverse problems with unknown operator . Mathematical Methods of Statistics, 15 (2006), pp. 415-443.

Autres

C. Marteau. Méthodes directes pour problèmes inverses et quelques contributions en statistique non-paramétrique. Manuscrit d'Habilitation à Diriger des Recherches. Soutenue le 9 décembre 2013.
C. Marteau. Recherche d'inégalités oracles pour des problèmes inverses. Thèse soutenue le 29 novembre 2007.

Clément MARTEAU

marteau[at]math.univ-lyon1.fr

Professeur à l’Université Lyon I - Claude Bernard
Membre de l'Institut Camille Jordan

Liste de publications

Autres