EN FR
EN FR
CQFD - 2013
Application Domains
New Results
Bilateral Contracts and Grants with Industry
Bibliography
Application Domains
New Results
Bilateral Contracts and Grants with Industry
Bibliography


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

Doctoral Dissertations and Habilitation Theses

  • 10R. Azaïs.

    Estimation non paramétrique pour les processus markoviens déterministes par morceaux, Université Sciences et Technologies - Bordeaux I, July 2013.

    http://hal.inria.fr/tel-00844395
  • 11C. Baysse.

    Analyse et optimisation de la fiabilité d'un équipement opto-électronique équipé de HUMS, Université Sciences et Technologies - Bordeaux I, November 2013.

    http://hal.inria.fr/tel-00938744
  • 12R. Coudret.

    Stochastic modelling using large data sets : applications in ecology and genetics, Université Sciences et Technologies - Bordeaux I, September 2013.

    http://hal.inria.fr/tel-00865867
  • 13L. Vezard.

    Réduction de dimension en apprentissage supervisé. Application à l'étude de l'activité cérébrale, Université Sciences et Technologies - Bordeaux I, December 2013.

    http://hal.inria.fr/tel-00926845
  • 14B. de Saporta.

    Contribution à l'estimation et au contrôle de processus stochastiques, Université Sciences et Technologies - Bordeaux I, July 2013, Habilitation à Diriger des Recherches.

    http://hal.inria.fr/tel-00905873

Articles in International Peer-Reviewed Journals

  • 15R. Azaïs.

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

    http://hal.inria.fr/hal-00759065
  • 16R. Azaïs, F. Dufour, A. Gégout-Petit.

    Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes, in: Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2013, vol. 49, no 4, pp. 1204-1231.

    http://hal.inria.fr/hal-00759062
  • 17R. 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, To appear.

    http://hal.inria.fr/hal-00925874
  • 18C. 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, A paraître.

    http://hal.inria.fr/hal-00763963
  • 19B. 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.

    http://hal.inria.fr/hal-00673832
  • 20A. Brandejsky, B. de Saporta, F. Dufour.

    Optimal stopping for partially observed piecewise-deterministic Markov processes, in: Stochastic Processes and their Applications, 2013, vol. 123, pp. 3201-3238. [ DOI : 10.1016/j.spa.2013.03.006 ]

    http://hal.inria.fr/hal-00755052
  • 21M. Chavent, S. Girard, V. Kuentz-Simonet, B. Liquet, T. M. N. Nguyen, J. Saracco.

    A sliced inverse regression approach for data stream, in: Computational Statistics, 2014, vol. to appear.

    http://hal.inria.fr/hal-00688609
  • 22R. Coudret, G. Durrieu, J. Saracco.

    Comparison of kernel density estimators with assumption on number of modes, in: Communication in Statistics - Simulation and Computation, October 2013, in press. [ DOI : 10.1080/03610918.2013.770530 ]

    http://hal.inria.fr/hal-00748790
  • 23R. Coudret, B. Liquet, J. Saracco.

    Comparison of sliced inverse regression approaches for underdetermined cases, in: Journal de la Société Française de Statistique, 2013, In press.

    http://hal.inria.fr/hal-00768352
  • 24F. Dufour, A. Piunovskiy.

    The expected total cost criterion for Markov decision processes under constraints, in: Advances in Applied Probability, 2013, vol. 45, no 3, pp. 837-859.

    http://hal.inria.fr/hal-00925859
  • 25F. Dufour, T. Prieto-Rumeau.

    Finite Linear Programming Approximations of constrained discounted Markov decision processes, in: SIAM Journal of control and optimization, 2013, vol. 51, no 2, pp. 1298-1324. [ DOI : 10.1137/120867925 ]

    http://hal.inria.fr/hal-00925862
  • 26F. Dufour, T. Prieto-Rumeau.

    Stochastic Approximations of Constrained Discounted Markov Decision Processes, in: Journal of Mathematical Analysis and applications, 2014, 30 p, To appear.

    http://hal.inria.fr/hal-00925878
  • 27A. Gégout-Petit, L. Guérin-Dubrana, A. Labenne, J.-C. Labrousse, S. Bastien, P. Rey.

    Statistical analysis of the grapevines mortality associated Esca or Eutypa dieback foliar expression, in: Phytopathologia Mediterranea, 2013, vol. 52, no 2, pp. 276 - 288.

    http://hal.inria.fr/hal-00933308
  • 28B. de Saporta, A. Gégout-Petit, L. Marsalle.

    Random coefficients bifurcating autoregressive processes, in: ESAIM: Probability and Statistics, 2013. [ DOI : 10.1051/ps/2013042 ]

    http://hal.inria.fr/hal-00702357
  • 29B. 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 ]

    http://hal.inria.fr/hal-00702359
  • 30B. de Saporta, H. Zhang.

    Predictive maintenance for the heated hold-up tank, in: Reliability Engineering and System Safety, 2013, vol. 115, pp. 82-90. [ DOI : 10.1016/j.ress.2013.02.016 ]

    http://hal.inria.fr/hal-00755056

Articles in National Peer-Reviewed Journals

  • 31V. Kuentz-Simonet, S. Lyser, J. Candau, P. Deuffic, M. Chavent, J. Saracco.

    Une approche par classification de variables pour la typologie d'observations : le cas d'une enquête agriculture et environnement, in: Journal de la Société Française de Statistique, 2013, vol. 154, no 2, 37 p.

    http://hal.inria.fr/hal-00876254

Invited Conferences

  • 32B. de Saporta, A. Brandejsky, F. Dufour.

    Numerical method to compute the law of exit times for piecewise deterministic Markov processes, in: Hitting times and exit problems for stochastic models, Dijon, France, 2013.

    http://hal.inria.fr/hal-00905866

International Conferences with Proceedings

  • 33C. Baysse, D. Bihannic, A. Gégout-Petit, M. Prenat, B. de Saporta, J. Saracco.

    Maintenance Optimisation of Optronic Equipment, in: Prognostics and System Health Management Conference, Milan, Italy, 2013, pp. 709-714.

    http://hal.inria.fr/hal-00906346
  • 34P. Mouawad, M. Desainte-Catherine, A. Gégout-Petit, C. Semal.

    The role of the singing acoustic cues in the perception of broad affect dimensions, in: The 10th International Symposium on Computer Music Multidisciplinary Research (CMMR 2013), Marseille, France, Laboratoire de Mécanique and d'Acoustique (LMA) (editor), October 2013, 98 p.

    http://hal.inria.fr/hal-00936752
  • 35J. Saracco, I. Charlier, D. Paindaveine.

    Application de la quantification optimale à l'estimation de quantiles conditionnels, in: 45èmes journées de statistique - Toulouse, France, 2013.

    http://hal.inria.fr/hal-00926466
  • 36J. Saracco, K. Claudio, V. Couallier, Y. Le Gat.

    Redressement d'un estimateur de la consommation en eau potable d'une population, in: 45èmes journées de statistique - Toulouse, France, 2013.

    http://hal.inria.fr/hal-00926475
  • 37J. Saracco, R. Coudret, B. Liquet.

    Comparaison de méthodes basées sur SIR pour des cas sous-déterminés (n < p), in: 45èmes journées de statistique - Toulouse, France, 2013.

    http://hal.inria.fr/hal-00926478
  • 38L. Vezard, P. Legrand, M. Chavent, F. Faita-Ainseba, L. Trujillo.

    Detecting mental states of alertness with genetic algorithm variable selection, in: IEEE Congress on Evolutionary Computation (CEC) 2013, CANCUN, Mexico, June 2013, pp. 1247 - 1254.

    http://hal.inria.fr/hal-00939851
  • 39H. Zhang, B. de Saporta, F. Dufour, G. Deleuze.

    Dynamic Reliability by Using Simulink and Stateflow, in: Prognostics and System Health Management Conference, Milan, Italy, 2013, vol. 33, pp. 529-534.

    http://hal.inria.fr/hal-00906337

National Conferences with Proceedings

  • 40C. Baysse, D. Bihannic, B. de Saporta, A. Gégout-Petit, M. Prenat, J. Saracco.

    Optimisation de la maintenance d'un équipement optronique, in: 45èmes Journées de Statistique, Toulouse, France, 2013.

    http://hal.inria.fr/hal-00906353
  • 41A. Labenne, M. Chavent, V. Kuentz-Simonet, T. Rambonilaza, J. Saracco.

    Une extension de l'Analyse Factorielle Multiple pour des groupes de variables mixtes, in: 45èmes Journées de Statistique, France, 2013.

    http://hal.inria.fr/hal-00926254

Conferences without Proceedings

  • 42M. Chavent, R. Genuer, V. Kuentz-Simonet, B. Liquet, J. Saracco.

    ClustOfVar : an R package for dimension reduction via clustering of variables. Application in supervised classification and variable selection in gene expressions data, in: Statistical Methods for (post)-Genomics Data (SMPGD 2013), Netherlands, January 2013.

    http://hal.inria.fr/hal-00926216
  • 43A. Labenne, M. Chavent, V. Kuentz-Simonet, T. Rambonilaza, J. Saracco.

    Une approche par classification de variables à l'aide de la méthode 'ClustOfVar' pour analyser la qualité de vie à l'échelle communale, in: Statlearn'13, Bordeaux, France, April 2013.

    http://hal.inria.fr/hal-00926229
  • 44A. Labenne, M. Chavent, V. Kuentz-Simonet, T. Rambonilaza, J. Saracco.

    Une extension de l'Analyse Factorielle Multiple pour des groupes de variables mixtes, in: 2èmes rencontres R, Lyon, France, June 2013.

    http://hal.inria.fr/hal-00926242

Scientific Books (or Scientific Book chapters)

  • 45O. Costa, F. Dufour.

    Continuous average control of piecewise deterministic Markov processes, SpringerBriefs in Mathematics, Springer, 2013, 116 p.

    http://hal.inria.fr/hal-00938693
  • 46L. 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.

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

Internal Reports

  • 47H. Zhang, B. de Saporta, F. Dufour.

    Filtrage et contrôle optimal stochastique appliqué à l'optimisation de trajectoire, May 2013.

    http://hal.inria.fr/hal-00926432

Other Publications

  • 48R. Coudret, S. Girard, J. Saracco.

    A new sliced inverse regression method for multivariate response, 2013.

    http://hal.inria.fr/hal-00714981
  • 49A. Gégout-Petit, R. Azaïs, M. Touzet, M. Puiggali, A. Ben Abdessalem.

    Stochastic modelling and simulation of fatigue crack propagation using piecewise-deterministic Markov processes, May 2013, Soumis.

    http://hal.inria.fr/hal-00940516
References in notes
  • 50N. 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
  • 51R. Duda, P. Hart, D. Stork.

    Pattern Classification, John Wiley, 2001.
  • 52K.-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.