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Sequential Monte Carlo without likelihoods
Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov ch...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2007
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1794282/ https://ncbi.nlm.nih.gov/pubmed/17264216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0607208104 |
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