Number of documents

52

Liste publications


Journal articles25 documents

  • Valderio Anselmo Reisen, Adriano Sgrancio, Céline Levy-Leduc, Pascal Bondon, Edson Zambon Monte, et al.. Robust factor modelling for high-dimensional time series: An application to air pollution data. Applied Numerical Analysis and Computational Mathematics, Wiley-VCH Verlag: No OnlineOpen, 2019, ⟨10.1016/j.amc.2018.09.062⟩. ⟨hal-02183227⟩
  • Maximilien Grandclaudon, Marie Perrot-Dockes, Coline Trichot, Léa Karpf, Omar Abouzid, et al.. A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication. Cell, Elsevier, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩. ⟨hal-02316607⟩
  • Marie Perrot-Dockes, Celine Levy Leduc, Julien Chiquet, Laure Sansonnet, Margaux Brégère, et al.. A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, ⟨10.1515/sagmb-2017-0077⟩. ⟨hal-01896164⟩
  • F.A. Fajardo, Valdério Anselmo Reisen, Celine Levy Leduc, M.S. Taqqu. M-periodogram for the analysis of long-range dependent time series. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2018, 52 (3), pp.665-683. ⟨10.1080/02331888.2018.1427751⟩. ⟨hal-01707551⟩
  • Vincent Brault, Sarah Ouadah, Laure Sansonnet, Céline Lévy-Leduc. Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices. Journal of Multivariate Analysis, Elsevier, 2018, 165, pp.143-165. ⟨10.1016/j.jmva.2017.12.005⟩. ⟨hal-01468198v2⟩
  • Vincent Brault, C. Lévy-Leduc, Amélie Mathieu, Alexandra Jullien. Change-point estimation in the multivariate model taking into account the dependence: Application to the vegetative development of oilseed rape. Journal of Agricultural, Biological, and Environmental Statistics, Springer Verlag, 2018, 23 (3), pp.374-389. ⟨10.1007/s13253-018-0324-y⟩. ⟨hal-01809633⟩
  • Anna Bonnet, Celine Levy Leduc, Elisabeth Gassiat, Roberto Toro, Thomas Bourgeron. Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2018, 67 (4), pp.813-839. ⟨10.1111/rssc.12261⟩. ⟨hal-01707553⟩
  • Valdério Anselmo Reisen, Céline Levy-Leduc, Marcelo Bourguignon, Hélène Boistard. Robust Dickey-Fuller tests based on ranks for time series with additive outliers. Metrika, Springer Verlag, 2017, 80 (1), pp.115-131. ⟨10.1007/s00184-016-0594-8⟩. ⟨hal-01588596⟩
  • Souhil Chakar, Émilie Lebarbier, Céline Levy Leduc, Stephane Robin. A robust approach for estimating change-points in the mean of an AR(1) process. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (2), pp.1408-1447. ⟨10.3150/15-BEJ782⟩. ⟨hal-01530852⟩
  • Valdério A. Reisen, Céline Lévy-Leduc, Murad S. Taqqu. An M-estimator for the long-memory parameter. Journal of Statistical Planning and Inference, Elsevier, 2017, 187, pp.44-55. ⟨10.1016/j.jspi.2017.02.008⟩. ⟨hal-01533848⟩
  • Vincent Brault, Maud Delattre, Émilie Lebarbier, Tristan Mary-Huard, Céline Leduc. Estimating the number of block boundaries from diagonal blockwise matrices without penalization. Scandinavian Journal of Statistics, Wiley, 2017, 44 (2), pp.563-580. ⟨10.1111/sjos.12266⟩. ⟨hal-01533843⟩
  • Vincent Brault, Julien Chiquet, Céline Lévy-Leduc. Efficient block boundaries estimation in block-wise constant matrices: An Application to HiC data. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2017, Electronic Journal of Statistics, 11 (1), pp.1570-1599. ⟨10.1214/17-EJS1270⟩. ⟨hal-01455732⟩
  • Marjorie Jala, Celine Levy Leduc, Éric Moulines, Emmanuelle Conil, Joe Wiart. Sequential design of computer experiments for the assessment of fetus exposure to electromagnetic fields. Technometrics, Taylor & Francis, 2016, 58 (1), pp.30--42. ⟨10.1080/00401706.2014.979951⟩. ⟨hal-01418859⟩
  • E. Lebarbier, C. Lévy-Leduc. Editorial du numéro spécial sur la détection de ruptures. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2015, 156 (4), pp.58-59. ⟨hal-01568797⟩
  • Anna Bonnet, Elisabeth Gassiat, Céline Levy Leduc. Heritability estimation in high dimensional sparse linear mixed models. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2015, 9 (2), pp.2099-2129. ⟨10.1214/15-EJS1069⟩. ⟨hal-01540984⟩
  • Alexandre Lung Yut Fong, Celine Levy Leduc, Olivier Cappe. Homogeneity and change-point detection tests for multivariate data using rank statistics. Journal de la SFdS, 2015, 156 (4), pp.133-162. ⟨hal-01528845⟩
  • Celine Levy Leduc, Stephane Robin. Les nouveaux défis de la biologie moléculaire. Symbiose (Magazine d'Agroparistech Alumni), 2015, 12. ⟨hal-01537747⟩
  • Céline Levy Leduc, M. S. Taqqu. Hermite ranks and -statistics. Metrika, Springer Verlag, 2014, 77 (1), pp.105 - 136. ⟨10.1007/s00184-013-0474-4⟩. ⟨hal-01197638⟩
  • Valderio Anselmo Reisen, Alessandro Jose Queiroz Sarnaglia, Neyval Costa Reis, Céline Levy Leduc, Jane Meri Santos. Modeling and forecasting daily average PM10 concentrations by a seasonal long-memory model with volatility. Environmental Modelling and Software, Elsevier, 2014, 51, pp.286 - 295. ⟨10.1016/j.envsoft.2013.09.027⟩. ⟨hal-01197639⟩
  • Olaf Kouamo, Celine Levy Leduc, Eric Moulines. Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2013, 19 (1), pp.172-204. ⟨10.3150/11-BEJ398⟩. ⟨hal-01000058⟩
  • Celine Levy Leduc, Murad Taqqu. Long-range dependence and the ranks of decompositions. Contemporary mathematics, American Mathematical Society, 2013, pp.1-14. ⟨hal-01001307⟩
  • A. Lung-Yut-Fong, C. Lévy-Leduc, O. CappÉ. Distributed detection/localization of change-points in highdimensional network traffic data. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (485-496). ⟨hal-01568799⟩
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Distributed detection/localization of change-points in high-dimensional network traffic data. Statistics and Computing, Springer Verlag (Germany), 2011, pp.1-12. ⟨10.1007/s11222-011-9240-5⟩. ⟨hal-00420862v2⟩
  • Zaid Harchaoui, Céline Lévy-Leduc. Multiple Change-Point Estimation With a Total Variation Penalty. Journal of the American Statistical Association, Taylor & Francis, 2010, 105 (492), pp.1480-1493. ⟨10.1198/jasa.2010.tm09181⟩. ⟨hal-00923474⟩
  • Magalie Fromont, Céline Lévy-Leduc. Adaptive tests for periodic signal detection with applications to laser vibrometry. ESAIM: Probability and Statistics, EDP Sciences, 2006, 10, pp.46-75. ⟨10.1051/ps:1006002⟩. ⟨hal-00457760⟩

Conference papers9 documents

  • Higor Cotta, Valderio A. Reisen, Pascal Bondon, Céline Lévy-Leduc. A robust alternative for the estimation of autocovariance from the frequency domain for multivariate processes. International Work-Conference on Time Series, Sep 2018, Granada, Spain. pp.1011 - 1012. ⟨hal-01886240⟩
  • Alessandro Jose Queiroz Sarnaglia, Valderio Anselmo Reisen, Pascal Bondon, Céline Lévy-Leduc. A robust estimation approach for fitting a PARMA model to real data. 2016 IEEE Statistical Signal Processing Workshop (SSP), Jun 2016, Palma de Mallorca, Spain. 5 p., ⟨10.1109/ssp.2016.7551740 ⟩. ⟨hal-01560258⟩
  • Vincent Brault, Julien Chiquet, Céline Lévy-Leduc. Fast Detection of Block Boundaries in Block-Wise Constant Matrices. 12th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2016), Petra Perner, Jul 2016, New York, NY, United States. pp.214-228, ⟨10.1007/978-3-319-41920-6_16⟩. ⟨hal-01574362⟩
  • Vincent Brault, Celine Levy Leduc, Sarah Ouadah, Laure Sansonnet. Test d'homogénéité non-paramétrique pour les données Hi-C . 48èmes Journées de Statistique de la SFdS , May 2016, Montpellier, France. ⟨hal-01589407⟩
  • Celine Levy Leduc, Maud Delattre, Tristan Mary-Huard, Stephane Robin. Two-dimensional segmentation for analyzing HiC data. ECCB 2014: The 13th European Conference on Computational Biology, Sep 2014, Strasbourg, France. pp.386-392, ⟨10.1093/bioinformatics/btu443⟩. ⟨hal-01148580⟩
  • Céline Lévy-Leduc. Several approaches for detecting change-points in high-dimensional network traffic data. Data Analysis for CyberSecurity, Mar 2013, Bristol, United Kingdom. ⟨hal-01585571⟩
  • Marjorie Jala, Céline Lévy-Leduc, Éric Moulines, Emmanuelle Conil, Joe Wiart. Sequential design of experiments for parameter estimation with application to numerical dosimetr. In European Signal Processing Conference (EUSIPCO), Aug 2012, Bucharest, Romania. ⟨hal-01587096⟩
  • T. Rebafka, C. Levy-Leduc, M. Charbit. Regularization Methods for Intercepted Radar Signals. IEEE Radar Conference 2011, May 2011, Kansas City, MO,, United States. pp.393-396, ⟨10.1109/RADAR.2011.5960567⟩. ⟨hal-00705444⟩
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Robust Retrospective Multiple Change-point Estimation for Multivariate Data. Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.405--408, ⟨10.1109/SSP.2011.5967716⟩. ⟨hal-00564410v2⟩

Book sections2 documents

  • Valdério Anselmo Reisen, Celine Levy Leduc, H.H.A Cotta. Long-memory models under outliers : an application to air pollution levels. Air and Noise Pollution, 3, Springer, 2017, Environmental Science and Engineering. ⟨hal-01544624⟩
  • Celine Levy Leduc. Several approaches for detecting anomalies in network traffic data. Data analysis for network cyber-security, Niall Adams and Nicholas Heard, 200 p., 2014, 978-1-78326-374-5. ⟨hal-01197641⟩

Other publications5 documents

  • Higor Cotta, Valderio Reisen, Pascal Bondon, Céline Lévy-Leduc. tsqn: Applications of the Qn Estimator to Time Series (Univariate and Multivariate). 2017. ⟨hal-01578823⟩
  • Celine Levy Leduc. R package: MultiVarSel (available on the CRAN). 2017. ⟨hal-01604372⟩
  • Celine Levy Leduc. R package: EstHer (available on the CRAN). 2015. ⟨hal-01536603⟩
  • Celine Levy Leduc. Package R HiCseg (available on the CRAN). 2014. ⟨hal-01607710⟩
  • Celine Levy Leduc. Package R AR1seg (available on the CRAN). 2014. ⟨hal-01604688⟩

Preprints, Working Papers, ...11 documents

  • Marie Perrot-Dockes, Céline Lévy-Leduc, Loïc Rajjou. Estimation of large block structured covariance matrices: Application to "multi-omic" approaches to study seed quality. 2019. ⟨hal-02183239⟩
  • Céline Lévy-Leduc, Sarah Ouadah, Laure Sansonnet. Variable selection in sparse high-dimensional GLARMA models. 2019. ⟨hal-02186104⟩
  • Christophe Denis, Emilie Lebarbier, C. Lévy-Leduc, Olivier Martin, Laure Sansonnet. A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats. 2019. ⟨hal-02191217⟩
  • Anna Bonnet, Céline Lévy-Leduc, Elisabeth Gassiat, Roberto Toro, Thomas Bourgeron. Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models. 2015. ⟨hal-01589424⟩
  • V. Brault, M. Delattre, E. Lebarbier, T. Mary-Huard, C. Lévy-Leduc. Estimating the number of change-points in a two-dimensional segmentation model without penalization. 2015. ⟨hal-01589417⟩
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Homogeneity and change-point detection tests for multivariate data using rank statistics. 2012. ⟨hal-00607410v3⟩
  • Olaf Kouamo, Céline Lévy-Leduc, Éric Moulines. Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context. 2011. ⟨hal-00536394v2⟩
  • Tabea Rebafka, Céline Lévy-Leduc, Maurice Charbit. OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals. 2011. ⟨hal-00580140⟩
  • Céline Lévy-Leduc, Hélène Boistard, Éric Moulines, Murad S. Taqqu, Valderio A. Reisen. Asymptotic properties of U-processes under long-range dependence. 2009. ⟨hal-00442874v2⟩
  • Céline Lévy-Leduc, Hélène Boistard, Éric Moulines, Murad S. Taqqu, Valderio A. Reisen. Robust estimation of the scale and of the autocovariance function of Gaussian short and long-range dependent processes. 2009. ⟨hal-00442875⟩
  • Céline Lévy-Leduc, Éric Moulines, François Roueff. Frequency estimation based on the cumulated Lomb-Scargle periodogram. 2007. ⟨hal-00133933v2⟩