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Sequential Monte Carlo with transformations
This paper examines methodology for performing Bayesian inference sequentially on a sequence of posteriors on spaces of different dimensions. For this, we use sequential Monte Carlo samplers, introducing the innovation of using deterministic transformations to move particles effectively between targ...
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| Publicado en: | Stat Comput |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7026014/ https://ncbi.nlm.nih.gov/pubmed/32116416 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-019-09903-y |
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