EN FR
EN FR
CQFD - 2015
CQFD - 2015
Project-Team Cqfd
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
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
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


previous Previous | up Home


Bibliography

Major publications by the team in recent years
  • 1J. Anselmi, B. D'Auria, N. Walton.

    Closed Queueing Networks Under Congestion: Nonbottleneck Independence and Bottleneck Convergence, in: Math. Oper. Res., 2013, vol. 38, no 3, pp. 469–491.

    http://dx.doi.org/10.1287/moor.1120.0583
  • 2M. Boulakia, A. Genadot, M. Thieullen.

    Simulation of SPDEs for Excitable Media Using Finite Elements, in: Journal of Scientific Computing, 2015, vol. 65, no 1, pp. 171-195.

    http://dx.doi.org/10.1007/s10915-014-9960-8
  • 3I. Charlier, D. Paindaveine, J. Saracco.

    Conditional quantile estimation through optimal quantization, in: J. Statist. Plann. Inference, 2015, vol. 156, pp. 14–30.

    http://dx.doi.org/10.1016/j.jspi.2014.08.003
  • 4M. Chavent, S. Girard, V. Kuentz-Simonet, B. Liquet, T. M. N. Nguyen, J. Saracco.

    A sliced inverse regression approach for data stream, in: Comput. Statist., 2014, vol. 29, no 5, pp. 1129–1152.

    http://dx.doi.org/10.1007/s00180-014-0483-4
  • 5O. L. d. V. Costa, F. Dufour.

    Continuous average control of piecewise deterministic Markov processes, Springer Briefs in Mathematics, Springer, New York, 2013, xii+116 p.

    http://dx.doi.org/10.1007/978-1-4614-6983-4
  • 6R. Coudret, S. Girard, J. Saracco.

    A new sliced inverse regression method for multivariate response, in: Comput. Statist. Data Anal., 2014, vol. 77, pp. 285–299.

    http://dx.doi.org/10.1016/j.csda.2014.03.006
  • 7F. Dufour, A. B. Piunovskiy.

    The expected total cost criterion for Markov decision processes under constraints, in: Adv. in Appl. Probab., 2013, vol. 45, no 3, pp. 837–859.

    http://dx.doi.org/10.1239/aap/1377868541
  • 8F. Dufour, T. Prieto-Rumeau.

    Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities, in: Stochastics, 2015, vol. 87, no 2, pp. 273–307.

    http://dx.doi.org/10.1080/17442508.2014.939979
  • 9B. 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
Publications of the year

Articles in International Peer-Reviewed Journals

  • 10J. Anselmi, B. Gaujal, T. Nesti.

    Control of parallel non-observable queues: asymptotic equivalence and optimality of periodic policies, in: stochastic systems, December 2015, vol. 5, no 1. [ DOI : 10.1214/14-SSY146 ]

    https://hal.archives-ouvertes.fr/hal-01102936
  • 11I. Charlier, D. Paindaveine, J. Saracco.

    Conditional Quantile Estimation based on Optimal Quantization: from Theory to Practice, in: Computational Statistics and Data Analysis, 2015.

    https://hal.inria.fr/hal-01108504
  • 12I. 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
  • 13I. Charlier, D. Paindaveine, J. Saracco.

    QuantifQuantile : an R package for performing quantile regression through optimal quantization, in: The R Journal, 2015.

    https://hal.inria.fr/hal-01108505
  • 14O. Costa, F. Dufour.

    A linear programming formulation for constrained discounted continuous control for piecewise deterministic Markov processes, in: Journal of Mathematical Analysis and applications, April 2015, vol. 424, no 2. [ DOI : 10.1016/j.jmaa.2014.11.036 ]

    https://hal.archives-ouvertes.fr/hal-01246215
  • 15B. De Saporta, E. Costa.

    Approximate Kalman-Bucy filter for continuous-time semi-Markov jump linear systems, in: IEEE Transactions on Automatic Control, 2016, vol. 61, no 8. [ DOI : 10.1109/TAC.2015.2495578 ]

    https://hal.archives-ouvertes.fr/hal-01062618
  • 16F. Dufour, A. B. Piunovskiy.

    Impulsive control for continuous-time Markov decision processes, in: Advances in Applied Probability, March 2015, vol. 47, no 1. [ DOI : 10.1239/aap/1427814583 ]

    https://hal.archives-ouvertes.fr/hal-01246222
  • 17F. Dufour, A. B. Piunovskiy.

    Impulsive Control for Continuous-Time Markov Decision Processes: A Linear Programming Approach, in: Applied Mathematics and Optimization, 2015. [ DOI : 10.1007/s00245-015-9310-8 ]

    https://hal.archives-ouvertes.fr/hal-01246229
  • 18F. Dufour, T. Prieto-Rumeau.

    Conditions for the Solvability of the Linear Programming Formulation for Constrained Discounted Markov Decision Processes, in: Applied Mathematics and Optimization, 2015. [ DOI : 10.1007/s00245-015-9307-3 ]

    https://hal.archives-ouvertes.fr/hal-01246228
  • 19G. 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
  • 20Y. Martinez, L. Trujillo, P. Legrand, E. Galvan-Lopez.

    Prediction of Expected Performance for a Genetic Programming Classifier, in: Genetic Programming and Evolvable Machines, 2016.

    https://hal.inria.fr/hal-01252141
  • 21L. Vézard, P. Legrand, M. Chavent, F. Faïta-Aïnseba, L. Trujillo.

    EEG classification for the detection of mental states, in: Applied Soft Computing, 2015, vol. 32, pp. 113-131. [ DOI : 10.1016/j.asoc.2015.03.028 ]

    https://hal.inria.fr/hal-01207506

Invited Conferences

International Conferences with Proceedings

  • 23M. Castelli, L. Trujillo, L. Vanneschi, S. Silva, E. Z-Flores, P. Legrand.

    Geometric Semantic Genetic Programming with Local Search, in: Proceedings of the Conference on Genetic and Evolutionary Computation - GECCO '15, Madrid, Spain, 2015. [ DOI : 10.1145/2739480.2754795 ]

    https://hal.inria.fr/hal-01207505
  • 24C. Nivot, B. De Saporta, F. Dufour, J. Béhar, D. Bérard-Bergery, C. Elegbede.

    Modeling and optimization of a launcher integration process, in: ESREL 2015, Zurich, Switzerland, 2015.

    https://hal.archives-ouvertes.fr/hal-01202585
  • 25E. Z-Flores, L. Trujillo, O. Schütze, P. Legrand.

    A Local Search Approach to Genetic Programming for Binary Classification, in: Proceedings of the Conference on Genetic and Evolutionary Computation - GECCO '15, Madrid, Spain, 2015. [ DOI : 10.1145/2739480.2754797 ]

    https://hal.inria.fr/hal-01207504

National Conferences with Proceedings

  • 26M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco.

    ClustGeo: Ascendant Hierarchical Clustering (AHC) with geographical constraints, in: 47èmes Journées de Statistique de la SFdS, Lille, France, June 2015.

    https://hal.inria.fr/hal-01246856
  • 27A. Todeschini, F. Caron.

    Approche bayésienne non paramétrique pour la factorisation de matrice binaire à faible rang avec loi de puissance, in: 47e Journées de Statistique, Lille, France, Société Française de Statistique, June 2015.

    https://hal.inria.fr/hal-01157151
  • 28A. Todeschini, F. Caron.

    Approche bayésienne non paramétrique pour la factorisation de matrice binaire à faible rang avec loi de puissance, in: 47èmes Journées de Statistique de la SFdS, Lille, France, Société Française de Statistique, June 2015.

    https://hal.inria.fr/hal-01256860
  • 29A. Todeschini, R. Genuer.

    Compétitions d'apprentissage automatique avec le package R rchallenge, in: 47èmes Journées de Statistique de la SFdS, Lille, France, Société Française de Statistique, June 2015.

    https://hal.inria.fr/hal-01157147

Conferences without Proceedings

  • 30M. Chavent, M. Fuentes.

    Monothetic divisive clustering. The divclust R package, in: 4èmes Rencontres R, Grenoble, France, June 2015.

    https://hal.inria.fr/hal-01246857
  • 31M. Chavent, V. Kuentz, A. Labenne, B. Liquet, B. Liquet, J. Saracco.

    Multivariate analysis of mixed data: The PCAmixdata R package, in: The useR! Conference 2015, Aalborg, Denmark, June 2015.

    https://hal.inria.fr/hal-01246858
  • 32E. Naredo, L. Trujillo, F. F. d. Vega, S. Silva, P. Legrand.

    Diseñando Problemas Sintéticos de Clasificación con Superficie de Aptitud Deceptiva, in: MAEB 2015, Merida, Spain, 2015.

    https://hal.inria.fr/hal-01207507

Scientific Books (or Scientific Book chapters)

  • 33B. De Saporta, F. Dufour, H. Zhang.

    Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes, Mathematics and statistics series, Wiley-ISTE, 2015.

    https://hal.archives-ouvertes.fr/hal-01249897

Other Publications

  • 34J. Anselmi, N. Walton.

    Decentralized Proportional Load Balancing, January 2015, working paper or preprint.

    https://hal.inria.fr/hal-01103205
  • 35L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.

    Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework, November 2015, Submitted to IEEE Transactions on Medical Imaging. [ DOI : 10.1007/978-3-642-33454-2_23 ]

    https://hal.archives-ouvertes.fr/hal-01228007
  • 36L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.

    Subject-level Joint Parcellation-Detection-Estimation in fMRI, January 2016, working paper or preprint.

    https://hal.inria.fr/hal-01255465
  • 37E. Costa, B. De Saporta.

    Linear minimum mean square filters for Markov jump linear systems, 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01251334
  • 38B. Delyon, B. De Saporta, N. Krell, L. Robert.

    Investigation of asymmetry in E. coli growth rate, 2015, working paper or preprint.

    https://hal.inria.fr/hal-01201923
  • 39S. Girard, J. Saracco.

    Supervised and unsupervised classification using mixture models, December 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01241818
  • 40C. Nivot, B. De Saporta, F. Dufour, D. Bérard-Bergery, C. Elegbede.

    Optimization of a launcher integration process: a Markov decision process approach *, 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01269541
  • 41A. Todeschini, F. Caron.

    Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities, February 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01270854
References in notes
  • 42N. 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
  • 43R. Duda, P. Hart, D. Stork.

    Pattern Classification, John Wiley, 2001.
  • 44K.-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.


previous Previous | up Home