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...
| Autores principales: | , |
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| Formato: | Working paper |
| Lenguaje: | English |
| Publicado: |
Department of Economics (University of Oxford)
2009
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