Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals. - Marc Lavielle; Céline Lévy-Leduc (IEEE Trans. Signal Process., 2005)

Frequency Estimation From A Particular Almost Periodic Function With Application To Laser Vibrometry Signals. - Céline Lévy-Leduc (ICASSP (3), 2006)

Catching Change-points with Lasso. - Zaïd Harchaoui; Céline Lévy-Leduc (NIPS, 2007)

Detection of network anomalies using rank tests. - Céline Lévy-Leduc (EUSIPCO, 2008)

Robust estimation of periodic autoregressive processes in the presence of additive outliers. - Alessandro José Queiroz Sarnaglia; Valderio Anselmo Reisen; Céline Lévy-Leduc (J. Multivar. Anal., 2010)

Robust changepoint detection based on multivariate rank statistics. - Alexandre Lung-Yut-Fong; Céline Lévy-Leduc; Olivier Cappé (ICASSP, 2011)

Sequential design of computer experiments for parameter estimation with application to numerical dosimetry. - Marjorie Jala; Céline Lévy-Leduc; Eric Moulines; Emmanuelle Conil; Joe Wiart (EUSIPCO, 2012)

Distributed detection/localization of change-points in high-dimensional network traffic data. - Alexandre Lung-Yut-Fong; Céline Lévy-Leduc; Olivier Cappé (Stat. Comput., 2012)

Two-dimensional segmentation for analyzing Hi-C data. - Céline Lévy-Leduc; Maud Delattre; Tristan Mary-Huard; Stéphane Robin (Bioinform., 2014)

Modeling and forecasting daily average PM10 concentrations by a seasonal long-memory model with volatility. - Valderio Anselmo Reisen; Alessandro José Queiroz Sarnaglia; Neyval Costa Reis Jr.; Céline Lévy-Leduc; Jane Méri Santos (Environ. Model. Softw., 2014)

Fast Detection of Block Boundaries in Block-Wise Constant Matrices. - Vincent Brault; Julien Chiquet; Céline Lévy-Leduc (MLDM, 2016)

A robust estimation approach for fitting a PARMA model to real data. - Alessandro José Queiroz Sarnaglia; Valderio Anselmo Reisen; P. Bondou; Céline Lévy-Leduc (SSP, 2016)

Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields. - Marjorie Jala; Céline Lévy-Leduc; Eric Moulines; Emmanuelle Conil; Joe Wiart (Technometrics, 2016)

Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices. - Vincent Brault; Sarah Ouadah; Laure Sansonnet; Céline Lévy-Leduc (J. Multivar. Anal., 2018)

Variable selection in multivariate linear models with high-dimensional covariance matrix estimation. - Marie Perrot-Dockès; Céline Lévy-Leduc; Laure Sansonnet; Julien Chiquet (J. Multivar. Anal., 2018)

Robust factor modelling for high-dimensional time series: An application to air pollution data. - Valderio Anselmo Reisen; Adriano Marcio Sgrancio; Céline Lévy-Leduc; Pascal Bondon; Edson Zambon Monte; Higor Henrique Aranda Cotta; Flávio Augusto Ziegelmann (Appl. Math. Comput., 2019)

A variable selection approach for highly correlated predictors in high-dimensional genomic data. - Wencan Zhu; Céline Lévy-Leduc; Nils Ternès (Bioinform., 2021)

An active learning approach for improving the performance of equilibrium based chemical simulations. - Mary Savino; Céline Lévy-Leduc; Marc Leconte; Benoit Cochepin (CoRR, 2021)

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. - Wencan Zhu; Céline Lévy-Leduc; Nils Ternès (BMC Bioinform., 2023)