Monte Carlo Approximation
Particle methods, like all sampling-based approaches (e.g., MCMC), generate a set of samples that approximate the filtering distribution . So, with samples, expectations with respect to the filtering distribution are approximated by
and, in the usual way for Monte Carlo, can give all the moments etc. of the distribution up to some degree of approximation.
Read more about this topic: Particle Filter
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