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, n^o 2, pp. 513–536.
• 2O. Costa, F. Dufour.
  Stability and ergodicity of piecewise deterministic Markov processes, in: SIAM J. Control Optim., 2008, vol. 47, n^o 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, n^o 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, n^o 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, n^o 4, pp. 527–550.
• 6J. Saracco.
  Asymptotics for pooled marginal slicing estimator based on ${\mathrm{SIR}}_{\alpha }$ approach, in: J. Multivariate Anal., 2005, vol. 96, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 414, pp. 316–342, With discussion and a rejoinder by the author.