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ESAIM: Proceedings
Volume 19 (2007)
Conference Oxford sur les méthodes de Monte Carlo séquentielles
Christophe Andrieu and Dan Crisan (Eds.)
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On the use of sequential Monte Carlo methods for approximating smoothing functionals, with application to fixed parameter estimation p. 6
Published online: 30 October 2007
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Particle filtering for continuous-time hidden Markov models p. 12
Published online: 30 October 2007
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An approximate McKean-Vlasov model for the stochastic filtering problem p. 18
Published online: 30 October 2007
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Stability of sequential Markov Chain Monte Carlo methods p. 22
Published online: 30 October 2007
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The filtering problem: an application of weak approximations of SDEs p. 32
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Particle filters for continuous-time jump models in tracking applications p. 39
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The marginalized particle filter – analysis, applications and generalizations p. 53
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Adaptive particle techniques and rare event estimation p. 65
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Stability of the discrete time filter in terms of the tails of noise distributions p. 73
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Combined use of importance weights and resampling weights in sequential Monte Carlo methods p. 85
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Limit theorems for weighted samples with applications to sequential Monte Carlo methods p. 101
Published online: 30 October 2007
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Particle filter-based approximate maximum likelihood inference asymptotics in state-space models p. 115
Published online: 30 October 2007
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Numerical solutions for a class of SPDEs over bounded domains p. 121
Published online: 30 October 2007