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
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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.

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