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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 3J. Anselmi.
    Asymptotically optimal open-loop load balancing, in: Queueing Systems, September 2017, pp. 1–23. [ DOI : 10.1007/s11134-017-9547-9 ]
    https://hal.inria.fr/hal-01614892
  • 4J. Anselmi, D. Ardagna, J. C. S. Lui, A. Wierman, Y. Xu, Z. Yang.
    The Economics of the Cloud: Price Competition and Congestion, in: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, September 2017, vol. 2, no 4, pp. 1 - 23. [ DOI : 10.1145/3086574 ]
    https://hal.inria.fr/hal-01615172
  • 5R. Azaïs, A. Genadot.
    A new characterization of the jump rate for piecewise-deterministic Markov processes with discrete transitions, in: Communication in Statistics - Theory and Methods, 2017, https://arxiv.org/abs/1606.06130, forthcoming.
    https://hal.archives-ouvertes.fr/hal-01334847
  • 6A. N. Bishop, P. Del Moral.
    On the Stability of Kalman–Bucy Diffusion Processes, in: SIAM Journal on Control and Optimization, November 2017, vol. 55, no 6, pp. 4015 - 4047. [ DOI : 10.1137/16M1102707 ]
    https://hal.inria.fr/hal-01669244
  • 7A. N. Bishop, P. Del Moral, S. D. Pathiraja.
    Perturbations and projections of Kalman–Bucy semigroups, in: Stochastic Processes and their Applications, November 2017, pp. 1-48. [ DOI : 10.1016/j.spa.2017.10.006 ]
    https://hal.inria.fr/hal-01669084
  • 8M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco.
    ClustGeo: an R package for hierarchical clustering with spatial constraints, in: Computational Statistics, 2017, pp. 1-26, https://arxiv.org/abs/1707.03897, forthcoming.
    https://hal.archives-ouvertes.fr/hal-01664018
  • 9E. Costa, B. De Saporta.
    Linear minimum mean square filters for Markov jump linear systems, in: IEEE Transactions on Automatic Control, 2017, vol. 62, no 7, pp. 3567-3572, https://arxiv.org/abs/1601.00772. [ DOI : 10.1109/TAC.2017.2692180 ]
    https://hal.archives-ouvertes.fr/hal-01251334
  • 10O. L. d. V. Costa, F. Dufour.
    Zero-Sum Discounted Reward Criterion Games for Piecewise Deterministic Markov Processes, in: Applied Mathematics and Optimization, 2017, forthcoming. [ DOI : 10.1007/s00245-017-9416-2 ]
    https://hal.archives-ouvertes.fr/hal-01643056
  • 11B. De Saporta, F. Dufour, A. Geeraert.
    Optimal strategies for impulse control of piecewise deterministic Markov processes, in: Automatica, 2017, vol. 77, pp. 219-229, https://arxiv.org/abs/1603.07859 . [ DOI : 10.1016/j.automatica.2016.11.039 ]
    https://hal.archives-ouvertes.fr/hal-01294286
  • 12B. De Saporta, F. Dufour, C. Nivot.
    Partially observed optimal stopping problem for discrete-time Markov processes, in: 4OR: A Quarterly Journal of Operations Research, 2017, https://arxiv.org/abs/1602.04609. [ DOI : 10.1007/s10288-016-0337-8 ]
    https://hal.archives-ouvertes.fr/hal-01274645
  • 13P. Del Moral, A. Jasra.
    A sharp first order analysis of Feynman–Kac particle models, Part I: Propagation of chaos, in: Stochastic Processes and their Applications, January 2018, vol. 128, no 1, pp. 332 - 353. [ DOI : 10.1016/j.spa.2017.04.007 ]
    https://hal.inria.fr/hal-01669381
  • 14P. Del Moral, A. Jasra.
    A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers, in: Stochastic Processes and their Applications, January 2018, vol. 128, no 1, pp. 354 - 371. [ DOI : 10.1016/j.spa.2017.05.001 ]
    https://hal.inria.fr/hal-01669385
  • 15P. Del Moral, A. Kurtzmann, J. Tugaut.
    On the Stability and the Uniform Propagation of Chaos of a Class of Extended Ensemble Kalman–Bucy Filters, in: SIAM Journal on Control and Optimization, 2017, vol. 55, no 1, pp. 119 - 155, https://arxiv.org/abs/1606.08256. [ DOI : 10.1137/16M1087497 ]
    https://hal.inria.fr/hal-01469198
  • 16P. Del Moral, D. Villemonais.
    Exponential mixing properties for time inhomogeneous diffusion processes with killing, in: Bernoulli, May 2018, vol. 24, no 2, pp. 1010 - 1032, https://arxiv.org/abs/1412.2627. [ DOI : 10.3150/16-BEJ845 ]
    https://hal.inria.fr/hal-01593882
  • 17A. Genadot.
    Averaging for some simple constrained Markov processes, in: Probability and Mathematical Statistics, 2017, https://arxiv.org/abs/1606.07577, forthcoming.
    https://hal.archives-ouvertes.fr/hal-01336752
  • 18F. Giraud, P. Del Moral.
    Nonasymptotic analysis of adaptive and annealed Feynman–Kac particle models, in: Bernoulli, 2017, vol. 23, no 1, pp. 670 - 709, https://arxiv.org/abs/1209.5654. [ DOI : 10.3150/14-BEJ680 ]
    https://hal.inria.fr/hal-01469193
  • 19I. Jlassi, J. Saracco.
    Variable importance assessment in sliced inverse regression for variable selection, in: Communications in Statistics - Simulation and Computation, September 2017, pp. 1 - 31. [ DOI : 10.1080/03610918.2017.1375522 ]
    https://hal.archives-ouvertes.fr/hal-01662513
  • 20Y. Martinez, E. Naredo, L. Trujillo, P. Legrand, U. Lopez.
    A comparison of fitness-case sampling methods for genetic programming, in: Journal of Experimental and Theoretical Artificial Intelligence, 2017.
    https://hal.inria.fr/hal-01389047
  • 21P. D. Moral, A. Jasra, K. J. H. Law, Y. Zhou.
    Multilevel Sequential Monte Carlo Samplers for Normalizing Constants, in: ACM Transactions on Modeling and Computer Simulation, September 2017, vol. 27, no 3, pp. 1 - 22. [ DOI : 10.1145/3092841 ]
    https://hal.inria.fr/hal-01669115
  • 22P. D. Moral, A. Jasra, Y. Zhou.
    Biased Online Parameter Inference for State-Space Models, in: Methodology and Computing in Applied Probability, September 2017, vol. 19, no 3, pp. 727 - 749. [ DOI : 10.1007/s11009-016-9511-x ]
    https://hal.inria.fr/hal-01669132
  • 23H. Zhang, B. De Saporta, F. Dufour, D. Laneuville, A. Nègre.
    Stochastic Control of Observer Trajectories in Passive Tracking with Acoustic Signal Propagation Optimization, in: IET Radar Sonar and Navigation, 2017, forthcoming.
    https://hal.inria.fr/hal-01610189

Articles in National Peer-Reviewed Journals

  • 24M. P. Ellies-Oury, G. Cantalapiedra Hijar, D. Durand, D. Gruffat, A. Listrat, D. D. Micol, I. Ortigues-Marty, J.-F. Hocquette, M. Chavent, J. Saracco, B. Picard.
    Une nouvelle approche méthodologique pour piloter la conduite en élevage, in: Viandes & Produits Carnés, 2017, vol. 33, no 3, pp. 1-8.
    https://hal.archives-ouvertes.fr/hal-01664209

Invited Conferences

  • 25A. Cleynen, B. De Saporta.
    Optimal Stopping for Change-point Detection of Piecewise Deterministic Markov Processes, in: CT 2017 - SIAM Conference on Control and Its Applications, Pittsburgh, United States, 2017.
    https://hal.archives-ouvertes.fr/hal-01563234
  • 26E. Costa, B. De Saporta.
    Clustered Information Filter for Markov Jump Linear Systems, in: CT 2017 - SIAM Conference on Control and Its Applications, Pittsburgh, United States, July 2017.
    https://hal.archives-ouvertes.fr/hal-01563236
  • 27B. De Saporta, F. Dufour.
    Méthode numérique pour le contrôle des PDMP, in: Statistique pour les processus de Markov déterministes par morceaux, Nancy, France, Romain Azaïs, Florian Bouguet, February 2017.
    https://hal.archives-ouvertes.fr/hal-01549078
  • 28F. Dufour, A. Genadot, A. Piunovskiy.
    The Expected Total Reward Criterion for Markov Decision Processes, in: IMA and OR Society Conference on Mathematics of Operational Research, Birmingham, United Kingdom, April 2017.
    https://hal.inria.fr/hal-01665757
  • 29F. Dufour, T. Prieto-Rumeau.
    Approximations for Average Markov Decision Processes in Continuous-time, in: SIAM Conference on Control and its Applications, Pittsburgh, United States, July 2017.
    https://hal.inria.fr/hal-01665755

International Conferences with Proceedings

  • 30H. Zhang, F. Dufour, J. Anselmi, D. Laneuville, A. Nègre.
    Piecewise Optimal Trajectories of Observer for Bearings-Only Tracking by Quantization, in: 20th International Conference on Information Fusion, Xi'an, China, July 2017, pp. 1458-1464.
    https://hal.archives-ouvertes.fr/hal-01591013
  • 31H. Zhang, F. Dufour, J. Anselmi, D. Laneuville, A. Nègre.
    Piecewise Optimal Trajectories of Observer for Bearings-Only Tracking of Maneuvering Target, in: Proceedings of IEEE Aerospace Conference, Bigsky, United States, March 2018.
    https://hal.inria.fr/hal-01649429

Conferences without Proceedings

  • 32S. Badillo, M. Chavent, M. Joliot, N. Tzourio-Mazoyer, J. Saracco, B. Mazoyer.
    Are production, reading, and listening co-lateralized ? fMRI investigation in 296 healthy individuals, in: OHBM 2017 - Organization for Human Brain Mapping, Vancouver, Canada, June 2017.
    https://hal.archives-ouvertes.fr/hal-01663987
  • 33M. Chavent, G. Chavent.
    Approche bloc en ACP group-sparse: le package sparsePCA, in: AngletR 2017 - 6ème Rencontres R, Anglet, France, June 2017, 1 p.
    https://hal.archives-ouvertes.fr/hal-01662652
  • 34H. Lorenzo, R. Thiebaut, J. Saracco.
    Multi-block high-dimensional lasso-penalized analysis with imputation of missing data applied to postgenomic data in an Ebola vaccine trial, in: Annual workshop on Statistical Methods for Post Genomic Data - SMPGD 2018, Montpellier, France, January 2018.
    https://hal.archives-ouvertes.fr/hal-01664610
  • 35J. Saracco, I. Jlassi.
    Evaluation de l’importance des variables dans la méthode SIR (Sliced Inverse Regression), in: JDS 2017 - 49èmes Journées de Statistique, Avignon, France, May 2017.
    https://hal.archives-ouvertes.fr/hal-01664081

Scientific Books (or Scientific Book chapters)

  • 36T. Leonardo, E. Z-Flores, P. S. Juarez Smith, P. Legrand, S. Silva, M. Castelli, L. Vanneschi, O. Schütze, L. Munoz.
    Local Search is Underused in Genetic Programming, in: Genetic Programming Theory and Practice XIV, A. Arbor (editor), Springer, 2017.
    https://hal.inria.fr/hal-01388426

Internal Reports

Other Publications

References in notes
  • 51N. 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
  • 52R. Duda, P. Hart, D. Stork.
    Pattern Classification, John Wiley, 2001.
  • 53K.-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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