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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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| 發表在: | Stat Comput |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Springer US
2019
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| 主題: | |
| 在線閱讀: | 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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