Bibliography

Major publications by the team in recent years

• 1G. Biau, F. Cérou, A. Guyader.
  On the rate of convergence of the bagged nearest neighbor estimate, in: Journal of Machine Learning Research, February 2010, vol. 11, pp. 687–712.
  http://jmlr.csail.mit.edu/papers/v11/biau10a.html
• 2G. Biau, F. Cérou, A. Guyader.
  On the rate of convergence of the functional $k$–nearest neighbor estimates, in: IEEE Transactions on Information Theory, April 2010, vol. IT–56, n^o 4, pp. 2034–2040.
  http://dx.doi.org/10.1109/TIT.2010.2040857
• 3F. Cérou, A. Guyader.
  Nearest neighbor classification in infinite dimension, in: ESAIM : Probability and Statistics, 2006, vol. 10, pp. 340–355.
  http://dx.doi.org/10.1051/ps:2006014
• 4F. Cérou, A. Guyader.
  Adaptive multilevel splitting for rare event analysis, in: Stochastic Analysis and Applications, March 2007, vol. 25, n^o 2, pp. 417–443.
  http://dx.doi.org/10.1080/07362990601139628
• 5F. Cérou, P. Del Moral, F. Le Gland, P. Lezaud.
  Genetic genealogical models in rare event analysis, in: ALEA, Latin American Journal of Probability and Mathematical Statistics, 2006, vol. 1, pp. 181–203, Paper 01–08.
• 6T. Furon, A. Guyader, F. Cérou.
  On the design and optimization of Tardos probabilistic fingerprinting codes, in: 10th International Workshop on Information Hiding, Santa Barbara, Berlin, K. Solanki, K. Sullivan, U. Madhow (editors), Lecture Notes in Computer Science, Springer, May 2008, vol. 5284, pp. 341–356.
  http://dx.doi.org/10.1007/978-3-540-88961-8_24
• 7F. Le Gland, L. Mevel.
  Exponential forgetting and geometric ergodicity in hidden Markov models, in: Mathematics of Control, Signals, and Systems, 2000, vol. 13, n^o 1, pp. 63–93.
  http://dx.doi.org/10.1007/PL00009861
• 8F. Le Gland, N. Oudjane.
  A sequential algorithm that keeps the particle system alive, in: Stochastic Hybrid Systems : Theory and Safety Critical Applications, Berlin, H. A. P. Blom, J. Lygeros (editors), Lecture Notes in Control and Information Sciences, Springer–Verlag, 2006, n^o 337, pp. 351–389.
  http://hal.inria.fr/hal-00912079
• 9C. Musso, N. Oudjane, F. Le Gland.
  Improving regularized particle filters, in: Sequential Monte Carlo Methods in Practice, New York, A. Doucet, N. de Freitas, N. J. Gordon (editors), Statistics for Engineering and Information Science, Springer–Verlag, 2001, chap. 12, pp. 247–271.
  http://hal.inria.fr/hal-00912466

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 10P. Bui Quang.
  Approximation particulaire et méthode de Laplace pour le filtrage bayésien, Université Rennes 1, July 2013.
  http://hal.inria.fr/tel-00910173

Articles in International Peer-Reviewed Journals

• 11V. Caron, A. Guyader, M. Munoz Zuniga, B. Tuffin.
  Some Recent Results in Rare Event Estimation, in: ESAIM Proceedings, 2013.
  http://hal.inria.fr/hal-00908575
• 12F. Cérou, A. Guyader, T. Lelièvre, F. Malrieu.
  On the length of one-dimensional reactive paths, in: ALEA. Latin American Journal of Probability and Mathematical Statistics, 2013, vol. 10, n^o 1, pp. 359-389.
  http://hal.inria.fr/hal-00704704
• 13A. Guyader, N. Hengartner.
  On the Mutual Nearest Neighbors Estimate in Regression, in: Journal of Machine Learning Research, 2013, vol. 14, pp. 2361-2376.
  http://hal.inria.fr/hal-00874050
• 14A. Guyader, N. Jégou, A. B. Németh, S. Z. Németh.
  A geometrical approach to iterative isotone regression, in: Applied Mathematics and Computation, 2014, vol. 227, pp. 359-369. [ DOI : 10.1016/j.amc.2013.11.048 ]
  http://hal.inria.fr/hal-00940418
• 15D. Jacquemart, J. Morio.
  Conflict probability estimation between aircraft with dynamic importance splitting, in: Safety Science, 2013, vol. 51, n^o 1, pp. 94-100. [ DOI : 10.1016/j.ssci.2012.05.010 ]
  http://hal.inria.fr/hal-00911787
• 16J. Morio, R. Pastel, F. Le Gland.
  Missile target accuracy estimation with importance splitting, in: Aerospace Science and Technology, 2013, vol. 25, pp. 40-44. [ DOI : 10.1016/j.ast.2011.12.006 ]
  http://hal.inria.fr/hal-00911423
• 17R. Pastel, J. Morio, F. Le Gland.
  Improvement of satellite conflict prediction reliability through use of the adaptive splitting technique, in: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, January 2014, vol. 228, n^o 1, pp. 77-85. [ DOI : 10.1177/0954410012467725 ]
  http://hal.inria.fr/hal-00911424

International Conferences with Proceedings

• 18A. Goswami, F. Le Gland.
  Marginalization for rare event simulation in switching diffusions, in: Proceedings of the International Conference on Mathematical Techniques in Engineering Applications, Dehradun, India, 2013.
  http://hal.inria.fr/hal-00911419
• 19D. Jacquemart, F. Le Gland, J. Morio.
  A combined importance splitting and sampling algorithm for rare event estimation, in: Proceedings of the 2013 Winter Simulation Conference, Washington DC, United States, R. Pasupathy, S.-H. Kim, A. Tolk, R. R. Hill, M. E. Kuhl (editors), 2013, pp. 1035-1046. [ DOI : 10.1109/WSC.2013.6721493 ]
  http://hal.inria.fr/hal-00911420
• 20A. Lepoutre, O. Rabaste, F. Le Gland.
  Exploiting amplitude spatial coherence for multi-target particle filter in track-before-detect, in: Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, 2013, pp. 319-326.
  http://hal.inria.fr/hal-00911421

National Conferences with Proceedings

• 21A. Lepoutre, O. Rabaste, F. Le Gland.
  Filtres particulaires en contexte track-before-detect en présence de fluctuations d'amplitude de type Swerling 1 et 3, in: Actes du 24ème Colloque sur le Traitement du Signal et des Images, Brest, France, GRETSI, 2013.
  http://hal.inria.fr/hal-00911422

Other Publications

• 22A. Guyader, N. Hengartner, N. Jégou, E. Matzner-Lober.
  Iterative Isotonic Regression, 2013.
  http://hal.inria.fr/hal-00832863

References in notes

• 23A. Doucet, N. de Freitas, N. J. Gordon (editors)
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  Feynman–Kac formulae. Genealogical and interacting particle systems with applications, Probability and its Applications, Springer–Verlag, New York, 2004.
• 34P. Del Moral, A. Guionnet.
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• 35P. Del Moral, L. Miclo.
  Branching and interacting particle systems approximations of Feynman–Kac formulae with applications to nonlinear filtering, in: Séminaire de Probabilités XXXIV, Berlin, J. Azéma, M. Émery, M. Ledoux, M. Yor (editors), Lecture Notes in Mathematics, Springer–Verlag, 2000, vol. 1729, pp. 1–145.
• 36R. Douc, C. Matias.
  Asymptotics of the maximum likelihood estimator for general hidden Markov models, in: Bernoulli, June 2001, vol. 7, n^o 3, pp. 381–420.
• 37D. Fox, J. Hightower, L. Liao, D. Schulz, G. Borriello.
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• 38D. Fox, S. Thrun, W. Burgard, F. Dellaert.
  Particle filters for mobile robot localization, in: Sequential Monte Carlo Methods in Practice, New York, A. Doucet, N. de Freitas, N. J. Gordon (editors), Statistics for Engineering and Information Science, Springer–Verlag, 2001, chap. 19, pp. 401–428.
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