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ESAIM: Proc. Vol. 19

ESAIM: Proceedings

Vol. 19 (2007)

Conference Oxford sur les méthodes de Monte Carlo séquentielles

Christophe Andrieu & Dan Crisan, Editors




  • Foreword     p. I
    Christophe Andrieu and Dan Crisan
    PDF file (72.59 KB)


  • Convergence of the equi-energy sampler     p. 1
    Christophe Andrieu, Ajay Jasra, Arnaud Doucet and Pierre Del Moral
    Abstract | PDF file (140.8 KB)


  • On the use of sequential Monte Carlo methods for approximating smoothing functionals, with application to fixed parameter estimation     p. 6
    Jimmy Olsson, Olivier Cappé, Randal Douc and Éric Moulines
    Abstract | PDF file (178.1 KB)


  • Particle filtering for continuous-time hidden Markov models     p. 12
    Nicolas Chopin and Elisa Varini
    Abstract | PDF file (106.1 KB)


  • An approximate McKean-Vlasov model for the stochastic filtering problem     p. 18
    Dan Crisan and Jie Xiong
    Abstract | PDF file (122.0 KB)


  • Stability of sequential Markov Chain Monte Carlo methods     p. 22
    Andreas Eberle and Carlo Marinelli
    Abstract | PDF file (176.5 KB)


  • The filtering problem: an application of weak approximations of SDEs     p. 32
    Saadia Ghazali
    Abstract | PDF file (160.2 KB)


  • Particle filters for continuous-time jump models in tracking applications     p. 39
    Simon Godsill
    Abstract | PDF file (276.2 KB)


  • The marginalized particle filter - analysis, applications and generalizations     p. 53
    Thomas B. Schön, Rickard Karlsson and Fredrik Gustafsson
    Abstract | PDF file (582.2 KB)


  • Adaptive particle techniques and rare event estimation     p. 65
    Frédéric Cérou and Arnaud Guyader
    Abstract | PDF file (175.1 KB)


  • Stability of the discrete time filter in terms of the tails of noise distributions     p. 73
    Kari Heine
    Abstract | PDF file (141.7 KB)


  • Non-linear Markov Chain Monte Carlo     p. 79
    Christophe Andrieu, Ajay Jasra, Arnaud Doucet and Pierre Del Moral
    Abstract | PDF file (137.9 KB)


  • Combined use of importance weights and resampling weights in sequential Monte Carlo methods     p. 85
    Francois Le Gland
    Abstract | PDF file (219.3 KB)


  • Limit theorems for weighted samples with applications to sequential Monte Carlo methods     p. 101
    R. Douc and E. Moulines
    Abstract | PDF file (164.2 KB)


  • Particle Filters for Multiscale Diffusions     p. 108
    Anastasia Papavasiliou
    Abstract | PDF file (157.6 KB)


  • Particle filter-based approximate maximum likelihood inference asymptotics in state-space models     p. 115
    Jimmy Olsson and Tobias Rydén
    Abstract | PDF file (161.2 KB)


  • Numerical solutions for a class of SPDEs over bounded domains     p. 121
    Dan Crisan and Jie Xiong
    Abstract | PDF file (131.6 KB)








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