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CQFD - 2014
CQFD - 2014
Project-Team Cqfd
Members
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Cqfd
Members
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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Bibliography

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.

    http://hal.inria.fr/hal-00554759
  • 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 ]

    http://hal.inria.fr/hal-00545447/en
  • 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 ]

    https://hal.inria.fr/hal-01103200
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-01102977
  • 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.

    https://hal.inria.fr/hal-01103185
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-00958616
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-00759065
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-01103700
  • 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.

    https://hal.archives-ouvertes.fr/hal-00925874
  • 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.

    https://hal.archives-ouvertes.fr/hal-01068022
  • 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.

    https://hal.inria.fr/hal-01092623
  • 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.

    https://hal.archives-ouvertes.fr/hal-00763963
  • 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.

    https://hal.archives-ouvertes.fr/hal-00673832
  • 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 ]

    https://hal.inria.fr/hal-01108482
  • 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 ]

    https://hal.inria.fr/hal-00688609
  • 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 ]

    https://hal.inria.fr/hal-00714981
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-00702357
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-00702359
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-01103703
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-01103693
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-01074437
  • 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 ]

    https://hal.archives-ouvertes.fr/hal-00961512

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.

    https://hal.archives-ouvertes.fr/hal-01024607
  • 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.

    https://hal.archives-ouvertes.fr/hal-01062855
  • 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.

    https://hal.inria.fr/hal-01108399
  • 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.

    https://hal.inria.fr/hal-01108393

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.

    https://hal.inria.fr/hal-01109009
  • 35I. Charlier, D. Paindaveine, J. Saracco.

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

    https://hal.inria.fr/hal-01109003
  • 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.

    https://hal.archives-ouvertes.fr/hal-01102825
  • 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.

    https://hal.archives-ouvertes.fr/hal-01060527
  • 38F. Emigdio Z., T. Leonardo, S. Oliver, P. Legrand.

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

    https://hal.inria.fr/hal-01060315
  • 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.

    https://hal.archives-ouvertes.fr/hal-00990765

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.

    https://hal.archives-ouvertes.fr/hal-01102815
  • 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.

    https://hal.inria.fr/hal-01027442
  • 42H. Zhang, Y. Li.

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

    https://hal.archives-ouvertes.fr/hal-01109401

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.

    https://hal.inria.fr/hal-01109006

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.

    https://hal.inria.fr/hal-01060317
  • 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 ]

    https://hal.inria.fr/hal-00939850

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.

    http://dx.doi.org/10.1214/aos/1176348109
  • 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.


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