Nombre de documents

45

Liste publications


Article dans une revue21 documents

  • Valderio A. Reisen, Adriano Sgrancio, Céline Lévy-Leduc, Pascal Bondon, Edson Zambon Monte, et al.. Robust factor modeling for high-dimensional time series: an application to air pollution data. Applied Mathematics and Computation, Elsevier, 2018. 〈hal-01886205〉
  • Vincent Brault, C. Lévy-Leduc, A. Mathieu, A. 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〉
  • 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. 〈http://www.sciencedirect.com/science/article/pii/S0047259X17307753〉. 〈10.1016/j.jmva.2017.12.005〉. 〈hal-01468198〉
  • 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, In press, 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〉
  • 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〉
  • 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. 〈http://projecteuclid.org/euclid.ejs/1492826487〉. 〈10.1214/17-EJS1270〉. 〈hal-01455732〉
  • Marjorie Jala, Celine Levy Leduc, Eric 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〉
  • Celine Levy Leduc, Stephane Robin. Les nouveaux défis de la biologie moléculaire. Symbiose (Magazine d'Agroparistech Alumni), 2015, 12. 〈hal-01537747〉
  • 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〉
  • 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〉
  • 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〉
  • 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〉
  • 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〉

Communication dans un congrès9 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〉
  • 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. 〈http://jds2016.sfds.asso.fr/〉. 〈hal-01589407〉
  • 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. Petra Perner. 12th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2016), Jul 2016, New York, NY, United States. Springer, 9729, pp.214-228, 2016, Machine Learning and Data Mining in Pattern Recognition 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings. 〈https://link.springer.com/book/10.1007/978-3-319-41920-6〉. 〈10.1007/978-3-319-41920-6_16〉. 〈hal-01574362〉
  • 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. Bioinformatics, 30 (17), pp.386-392, 2014, 〈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. 〈http://wwwf.imperial.ac.uk/~nadams/CC/HIMRCyberWorkshop2013.html〉. 〈hal-01585571〉
  • Marjorie Jala, Céline Lévy-Leduc, Eric 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. 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), IEEE, 〈http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6325178〉. 〈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, 2011, 〈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, 2011, 〈10.1109/SSP.2011.5967716〉. 〈hal-00564410v2〉

Chapitre d'ouvrage2 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〉

Autre publication5 documents

  • Celine Levy Leduc. R package: MultiVarSel (available on the CRAN). il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées atte.. 2017. 〈hal-01604372〉
  • Higor Cotta, Valderio Reisen, Pascal Bondon, Céline Lévy-Leduc. tsqn: Applications of the Qn Estimator to Time Series (Univariate and Multivariate). R Package version 1.0.0. 2017. 〈hal-01578823〉
  • Celine Levy Leduc. R package: EstHer (available on the CRAN). il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées atte.. 2015. 〈hal-01536603〉
  • Celine Levy Leduc. Package R AR1seg (available on the CRAN). il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées atte.. 2014. 〈hal-01604688〉
  • Celine Levy Leduc. Package R HiCseg (available on the CRAN). il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées atte.. 2014. 〈hal-01607710〉

Pré-publication, Document de travail8 documents

  • 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. 30 pages, 8 figures. 2015. 〈hal-01589417〉
  • 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〉
  • Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé. Homogeneity and change-point detection tests for multivariate data using rank statistics. 30 pages, submitted. 2012. 〈hal-00607410v3〉
  • Olaf Kouamo, Céline Lévy-Leduc, Eric 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, Eric Moulines, Murad S. Taqqu, Valderio A. Reisen. Asymptotic properties of U-processes under long-range dependence. 2009. 〈hal-00442874v2〉
  • Céline Lévy-Leduc, Hélène Boistard, Eric 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, Eric Moulines, François Roueff. Frequency estimation based on the cumulated Lomb-Scargle periodogram. Nombre de pages : 22. 2007. 〈hal-00133933v2〉