On sequential Monte Carlo sampling methods for Bayesian filtering
In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is develop...
| Autors principals: | , , |
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| Format: | Journal article |
| Idioma: | English |
| Publicat: |
2000
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