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...
| Автори: | , |
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| Формат: | Working paper |
| Опубліковано: |
University of Oxford
2009
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Learning and filtering via simulation: smoothly jittered particle filters.
Опубліковано 2009
Working paper