Learning and filtering via simulation: smoothly jittered particle filters
A key ingredient of many particle filters is the use of the sampling importance resampling algorithm (SIR), which transforms a sample of weighted draws from a prior distribution into equally weighted draws from a posterior distribution. We give a novel analysis of the SIR algorithm and analyse the...
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| Formato: | Working paper |
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University of Oxford
2009
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Learning and filtering via simulation: smoothly jittered particle filters.
Publicado em 2009
Working paper