C. Lévy-Leduc

发表

Multiple Change-Point Estimation With a Total Variation Penalty

Z. Harchaoui, C. Lévy-Leduc, Zaïd Harchaoui, 2010 .

Robust estimation of the scale and of the autocovariance function of Gaussian short‐ and long‐range dependent processes

Céline Lévy-Leduc, E. Moulines, É. Moulines, 2009, 0912.4686.

M-regression spectral estimator for periodic ARMA models. An empirical investigation

C. Lévy-Leduc, P. Bondon, V. Reisen, 2021, Stochastic Environmental Research and Risk Assessment.

Frequency estimation based on the cumulated Lomb–Scargle periodogram

François Roueff, Céline Lévy-Leduc, E. Moulines, 2007, 0801.0158.

Efficient Frequency Estimation from a Particular Almost Periodic Function with Application to Laser Vibrometry

C. Lévy-Leduc, 2006 .

M-periodogram for the analysis of long-range-dependent time series

M. Taqqu, C. Lévy-Leduc, V. Reisen, 2018 .

Heritability estimation in high dimensional sparse linear mixed models

C. Lévy-Leduc, E. Gassiat, Anna Bonnet, 2015 .

A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication

C. Lévy-Leduc, D. Thieffry, J. Chiquet, 2019, Cell.

Change-Point Estimation in the Multivariate Model Taking into Account the Dependence: Application to the Vegetative Development of Oilseed Rape

C. Lévy-Leduc, A. Mathieu, A. Jullien, 2018 .

Robust estimation of the memory parameter of Gaussian time series using wavelets

É. Moulines, C. Lévy-Leduc, Olaf Kouamo, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

A robust approach to multiple change-point estimation in an AR(1) process

C. Lévy-Leduc, S. Robin, É. Lebarbier, 2014 .

Efficient Semiparametric Estimation of the Periods in a Superposition of Periodic Functions with Unknown Shape

Céline Lévy-Leduc, Elisabeth Gassiat, C. Lévy-Leduc, 2006 .

Catching Change-points with Lasso

Zaïd Harchaoui, Céline Lévy-Leduc, Z. Harchaoui, 2007, NIPS.

Two-dimensional segmentation for analyzing Hi-C data

Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, 2014, Bioinform..

Detection of network anomalies using rank tests

Céline Lévy-Leduc, C. Lévy-Leduc, 2008, 2008 16th European Signal Processing Conference.

Estimation of large block covariance matrices: Application to the analysis of gene expression data

C. Lévy-Leduc, M. Perrot-Dockès, 2018 .

Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields

Eric Moulines, Joe Wiart, Céline Lévy-Leduc, 2016, Technometrics.

Sequential design of computer experiments for parameter estimation with application to numerical dosimetry

Eric Moulines, Joe Wiart, Céline Lévy-Leduc, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Editorial for the special issue on change-point detection

Céline Lévy-Leduc, Emilie Lebarbier, C. Lévy-Leduc, 2015 .

A robust estimation approach for fitting a PARMA model to real data

Céline Lévy-Leduc, Valderio Anselmo Reisen, Alessandro José Queiroz Sarnaglia, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Variable selection in multivariate linear models with high-dimensional covariance matrix estimation

Céline Lévy-Leduc, Julien Chiquet, Marie Perrot-Dockès, 2017, J. Multivar. Anal..

Efficient block boundaries estimation in block-wise constant matrices: An application to HiC data

C. Lévy-Leduc, J. Chiquet, V. Brault, 2017 .

Fast Detection of Block Boundaries in Block-Wise Constant Matrices

Céline Lévy-Leduc, Vincent Brault, Julien Chiquet, 2016, MLDM.

An active learning approach for improving the performance of equilibrium based chemical simulations

C. Lévy-Leduc, M. Leconte, M. Savino, 2021, Computational Geosciences.

Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices

Céline Lévy-Leduc, Vincent Brault, Laure Sansonnet, 2018, J. Multivar. Anal..

Robust factor modelling for high-dimensional time series: An application to air pollution data

Flávio Augusto Ziegelmann, Pascal Bondon, Céline Lévy-Leduc, 2019, Appl. Math. Comput..

An M-estimator for the long-memory parameter

Céline Lévy-Leduc, Murad S. Taqqu, Valdério Anselmo Reisen, 2017 .

Distributed detection/localization of change-points in high-dimensional network traffic data

Olivier Cappé, Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, 2009, Statistics and Computing.

Modeling and forecasting daily average PM10 concentrations by a seasonal long-memory model with volatility

Céline Lévy-Leduc, Valderio Anselmo Reisen, Alessandro José Queiroz Sarnaglia, 2014, Environ. Model. Softw..

A novel regularized approach for functional data clustering: an application to milking kinetics in dairy goats

E. Lebarbier, C. Denis, C. L'evy-Leduc, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Estimation of large block structured covariance matrices: Application to ‘multi‐omic’ approaches to study seed quality

C. Lévy-Leduc, M. Perrot-Dockès, Loïc Rajjou, 2018, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Variable selection in sparse GLARMA models

C. L'evy-Leduc, L. Sansonnet, M. Gomtsyan, 2020, 2007.08623.

Change-Point Estimation in the Multivariate Model Taking into Account the Dependence: Application to the Vegetative Development of Oilseed Rape

C. Lévy-Leduc, A. Mathieu, A. Jullien, 2018, Journal of Agricultural, Biological and Environmental Statistics.

Regularization methods for intercepted radar signals

C. Lévy-Leduc, Tabea Rebafka, Maurcie Charbit, 2011, 2011 IEEE RadarCon (RADAR).

Robust Dickey–Fuller tests based on ranks for time series with additive outliers

C. Lévy-Leduc, M. Bourguignon, H. Boistard, 2016, Metrika (Heidelberg).

Robust Dickey–Fuller tests based on ranks for time series with additive outliers

C. Lévy-Leduc, M. Bourguignon, H. Boistard, 2017 .

Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals

Céline Lévy-Leduc, Marc Lavielle, C. Lévy-Leduc, 2005, IEEE Transactions on Signal Processing.