CQFD - 2014
Overall Objectives
Application Domains
New Results
Bilateral Contracts and Grants with Industry
Overall Objectives
Application Domains
New Results
Bilateral Contracts and Grants with Industry


Major publications by the team in recent years
  • 1M. Chavent, B. Liquet, J. Saracco.

    A semiparametric approach for a multivariate sample selection model, in: Statist. Sinica, 2010, vol. 20, no 2, pp. 513–536.
  • 2O. Costa, F. Dufour.

    Stability and ergodicity of piecewise deterministic Markov processes, in: SIAM J. Control Optim., 2008, vol. 47, no 2, pp. 1053–1077.
  • 3O. Costa, F. Dufour.

    The Vanishing Discount Approach for the Average Continuous Control of Piecewise Deterministic Markov Processes, in: Journal of Applied Probability, 2009, vol. 46, no 4, pp. 1157-1183.
  • 4F. Dufour, A. Piunovskiy.

    Multi-objective stopping problem for discrete-time Markov processes, in: Journal of Applied Probability, 2010, vol. 47, no 4, pp. 947-966.
  • 5A. Gannoun, J. Saracco, A. Yuan, G. E. Bonney.

    Non-parametric quantile regression with censored data, in: Scand. J. Statist., 2005, vol. 32, no 4, pp. 527–550.
  • 6J. Saracco.

    Asymptotics for pooled marginal slicing estimator based on SIR α approach, in: J. Multivariate Anal., 2005, vol. 96, no 1, pp. 117–135.
  • 7B. de Saporta, F. Dufour, H. Zhang, C. Elegbede.

    Optimal stopping for predictive maintenance of a structure subject to corrosion, in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2012, vol. 226, no 2, pp. 169-181.

  • 8B. de Saporta, A. Gégout-Petit, L. Marsalle.

    Parameters estimation for asymmetric bifurcating autoregressive processes with missing data, in: Electronic Journal of Statistics, 2011, vol. 5, pp. 1313-1353. [ DOI : 10.1214/11-EJS643 ]

  • 9B. de Saporta, F. Dufour, K. Gonzalez.

    Numerical method for optimal stopping of piecewise deterministic Markov processes, in: The Annals of Applied Probability, 2010, vol. 20, no 5, pp. 1607-1637.
Publications of the year

Articles in International Peer-Reviewed Journals

  • 10J. Anselmi, D. Ardagna, J. C. S. Lui, A. Wierman, Y. Xu, Z. Yang.

    The economics of the cloud: price competition and congestion, in: ACM SIGecom Exchanges, November 2014, vol. 13, no 1, pp. 58-63. [ DOI : 10.1145/2692375.2692380 ]

  • 11J. Anselmi, B. Gaujal.

    Efficiency of simulation in monotone hyper-stable queueing networks, in: Queueing Systems, January 2014, vol. 76, no 1, pp. 51-72. [ DOI : 10.1007/s11134-013-9357-7 ]

  • 12J. Anselmi, M. Passacantando, D. Ardagna.

    Generalized Nash Equilibria for Platform-as-a-Service Clouds, in: European Journal of Operational Research, December 2014, vol. 236, no 1, pp. 326-339.

  • 13R. Azais, R. Coudret, G. Durrieu.

    A hidden renewal model for monitoring aquatic systems biosensors, in: Environmetrics, May 2014, vol. 25, no 3, pp. 189-199. [ DOI : 10.1002/env.2272 ]

  • 14R. Azaïs.

    A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process, in: ESAIM: Probability and Statistics, 2014, vol. eFirst, - p. [ DOI : 10.1051/ps/2013054 ]

  • 15R. Azaïs, F. Dufour, A. Gégout-Petit.

    Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes, in: Scandinavian Journal of Statistics, December 2014, vol. 41, no 4, pp. 950–969. [ DOI : 10.1111/sjos.12076 ]

  • 16R. Azaïs, F. Dufour, A. Gégout-Petit.

    Nonparametric estimation of the jump rate for piecewise-deterministic Markov processes, in: Scandinavian Journal of Statistics, 2014, 26 p, forthcoming.

  • 17L. Baillon, F. Pierron, R. Coudret, E. Normendeau, A. Caron, L. Peluhet, P. Labadie, H. Budzinski, G. Durrieu, J. Saracco, P. Elie, P. Couture, M. Baudrimont, L. Bernathez.

    Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels, in: Ecotoxicology, September 2014, forthcoming.

  • 18D. Basquin, A. Spierer, F. Begeot, D. E. Koryakov, A.-L. Todeschini, S. Ronsseray, C. Vieira, P. Spierer, M. Delattre.

    The Drosophila Su(var)3-7 gene is required for oogenesis and female fertility, genetically interacts with piwi and aubergine, but impacts only weakly transposon silencing, in: PLoS ONE, 2014, vol. 9, no 5, e96802.

  • 19C. Baysse, D. Bihannic, A. Gégout-Petit, M. Prenat, J. Saracco.

    Hidden Markov Model for the detection of a degraded operating mode of optronic equipment, in: Journal de la Société Française de Statistique, 2014, 11 p, 9 figures, forthcoming.

  • 20B. Bercu, T. Mong Ngoc Nguyen, J. Saracco.

    On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method, in: Statistics, 2014.

  • 21I. Charlier, D. Paindaveine, J. Saracco.

    Conditional quantile estimation through optimal quantization, in: Journal of Statistical Planning and Inference, 2015, vol. 156, pp. 14 - 30. [ DOI : 10.1016/j.jspi.2014.08.003 ]

  • 22M. Chavent, S. Girard, V. Kuentz, B. Liquet, T. M. N. Nguyen, J. Saracco.

    A sliced inverse regression approach for data stream, in: Computational Statistics, 2014, vol. 29, pp. 1129–1152. [ DOI : 10.1007/s00180-014-0483-4 ]

  • 23R. Coudret, S. Girard, J. Saracco.

    A new sliced inverse regression method for multivariate response, in: Computational Statistics and Data Analysis, September 2014, vol. 77, pp. 285-299. [ DOI : 10.1016/j.csda.2014.03.006 ]

  • 24B. De Saporta, A. Gégout-Petit, L. Marsalle.

    Random coefficients bifurcating autoregressive processes, in: ESAIM: Probability and Statistics, 2014, vol. 18, pp. 365-399. [ DOI : 10.1051/ps/2013042 ]

  • 25B. De Saporta, A. Gégout-Petit, L. Marsalle.

    Statistical study of asymmetry in cell lineage data, in: Computational Statistics and Data Analysis, 2014, vol. 69, pp. 15-39. [ DOI : 10.1016/j.csda.2013.07.025 ]

  • 26F. Dufour, T. Prieto-Rumeau.

    Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities, in: Stochastics: An International Journal of Probability and Stochastic Processes, November 2014, 35 p. [ DOI : 10.1080/17442508.2014.939979 ]

  • 27F. Dufour, T. Prieto-Rumeau.

    Stochastic approximations of constrained discounted Markov decision processes, in: Journal of Mathematical Analysis and applications, May 2014, vol. 413, no 2, pp. 856–879. [ DOI : 10.1016/j.jmaa.2013.12.016 ]

  • 28G. Durrieu, R. Coudret, J. Saracco.

    Comparison of Kernel Density Estimators with Assumption on Number of Modes, in: Communications in Statistics - Simulation and Computation, January 2015, vol. 44, no 1, pp. 196-216. [ DOI : 10.1080/03610918.2013.770530 ]

  • 29H. Zhang, F. Innal, F. Dufour, Y. Dutuit.

    Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system, in: Reliability Engineering and System Safety, June 2014, vol. 126, pp. 126-134. [ DOI : 10.1016/j.ress.2014.01.016 ]


Invited Conferences

  • 30C. Baysse, B. De Saporta, A. Gegout-Petit.

    Numerical method for optimal stopping of PDMP and maintenance optimization, in: International Workshop on Applied Probability IWAP, Antalya, Turkey, 2014.

  • 31C. Nivot, F. Dufour, B. De Saporta.

    Approximation de problèmes d'arrêt optimal dans un cadre partiellement observable, in: Meeting on Reliability, Security and Quality Assurance, Talence, France, 2014.

  • 32A. Todeschini, F. Caron, M. Fuentes, P. Legrand, P. Del Moral.

    Biips software: inference in Bayesian graphical models with sequential Monte Carlo methods, in: 21st International Conference on Computational Statistics (COMPSTAT 2014), Genève, Switzerland, European Regional Section of the IASC, August 2014.

  • 33A. Todeschini, F. Caron, M. Fuentes, P. Legrand, P. Del Moral.

    Recent Developments in Software for MCMC - Round Table Session, in: Fifth IMS-ISBA joint meeting MCMSki IV, Chamonix Mont-Blanc, France, IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), January 2014.


International Conferences with Proceedings

  • 34I. Charlier, D. Paindaveine, J. Saracco.

    Conditional quantile estimation using optimal quantization: a numerical study, in: International Conference on Computational Statistics (COMPSTAT'2014), Genève, Switzerland, August 2014.

  • 35I. Charlier, D. Paindaveine, J. Saracco.

    Estimation des quantiles conditionnels par quantification optimale : nouveaux résultats, in: 46èmes Journées de Statistique, Rennes, France, June 2014.

  • 36M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco.

    Variable selection to construct indicators of quality of life for data structured in groups, in: 21st International Conference on Computational Statistics (COMPSTAT), Geneva, Switzerland, August 2014.

  • 37E. Costa, B. De Saporta.

    A numerical method for state estimation of continuous time Markov jump linear systems, in: 53rd IEEE Conference on Decision and Control, Los Angeles, United States, 2014, WeC04.5.

  • 38F. Emigdio Z., T. Leonardo, S. Oliver, P. Legrand.

    Effects of local search in genetic programming, in: EVOLVE 2014, BEIJING, China, July 2014.

  • 39H. Zhang, B. De Saporta, F. Dufour, D. Laneuville, A. Nègre.

    Optimal Trajectories for Underwater Vehicles by Quantization and Stochastic control, in: Fusion 2014, Salamanca, Spain, July 2014, 8 p.


National Conferences with Proceedings

  • 40M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco.

    Sélection de variables pour la construction d'indicateurs de qualité de vie pour des données mixtes structurées en groupes, in: 3èmes Rencontres R, Montpellier, France, June 2014.

  • 41A. Todeschini, F. Caron, M. Chavent.

    Complétion de matrice de rang faible probabiliste à l'aide d'algorithmes de régularisation spectrale adaptatifs, in: 46e Journées de Statistique, Rennes, France, Société Française de Statistique, June 2014.

  • 42H. Zhang, Y. Li.

    Multi-Objective Design and Maintenance Optimization of the Heated Hold-Up Tank, in: Lambda Mu 19, Dijon, France, October 2014.


Conferences without Proceedings

  • 43I. Charlier, D. Paindaveine, J. Saracco.

    Estimation de quantiles conditionnels basée sur la quantification optimale sous R, in: 3èmes rencontres R, Montpellier, France, June 2014.


Scientific Books (or Scientific Book chapters)

  • 44P. Legrand, V. Laurent, C. Marie, F. Frederique, T. Leonardo.

    Feature extraction and classification of EEG signals. The use of a genetic algorithm for an application on alertness prediction, in: Guide to Brain-Computer Music Interfacing, E. Miranda, J. Castet, B. Knapp (editors), Springer, November 2014.

  • 45L. Vezard, P. Legrand, M. Chavent, F. Faita-Ainseba, J. Clauzel, L. Trujillo.

    Classification of EEG signals by evolutionary algorithm, in: Advances in Knowledge Discovery and Management Volume 4, F. Guillet, B. Pinaud, G. Venturini, D. Zighed (editors), Studies in Computational Intelligence, Springer, 2014, vol. 527, pp. 133-153. [ DOI : 10.1007/978-3-319-02999-3_8 ]


Other Publications

References in notes
  • 55N. Duan, K.-C. Li.

    Slicing regression: a link-free regression method, in: Ann. Statist., 1991, vol. 19, no 2, pp. 505–530.

  • 56R. Duda, P. Hart, D. Stork.

    Pattern Classification, John Wiley, 2001.
  • 57K.-C. Li.

    Sliced inverse regression for dimension reduction, in: J. Amer. Statist. Assoc., 1991, vol. 86, no 414, pp. 316–342, With discussion and a rejoinder by the author.