Abstract
Several particle algorithms admit a FeynmanKac 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.
| Original language | English |
|---|---|
| Pages (from-to) | 38-60 |
| Number of pages | 23 |
| Journal | Stochastic Processes and their Applications |
| Volume | 121 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2011 |
| Externally published | Yes |
Keywords
- FeynmanKac formulae
- Mixture Kalman filter
- Nonlinear filter
- Particle filter