Stability of Feynman-Kac formulae with path-dependent potentials
Several particle algorithms admit a Feynman-Kac representation such that the potential function may be expressed as a recursive function which depends on the complete state trajectory. An important example is the mixture Kalman filter, but other models and algorithms of practical interest fall in this category. We study the asymptotic stability of such particle algorithms as time goes to infinity. As a corollary, practical conditions for the stability of the mixture Kalman filter, and a mixture GARCH filter, are derived. Finally, we show that our results can also lead to weaker conditions for the stability of standard particle algorithms for which the potential function depends on the last state only.
Year of publication: |
2011
|
---|---|
Authors: | Chopin, N. ; Del Moral, P. ; Rubenthaler, S. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 121.2011, 1, p. 38-60
|
Publisher: |
Elsevier |
Keywords: | Feynman-Kac formulae Mixture Kalman filter Particle filter Nonlinear filter |
Saved in:
Saved in favorites
Similar items by person
-
Stability of Feynman-Kac formulae with path-dependent potentials
Chopin, Nicolas, (2010)
-
Particle systems with a singular mean-field self-excitation. Application to neuronal networks
Delarue, F., (2015)
-
A sequential particle filter method for static models
Chopin, Nicolas, (2000)
- More ...