Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models
Bayesian methods are advantageous for biological modeling studies due to their ability to quantify and characterize posterior variability in model parameters. When Bayesian methods cannot be applied, due either to nondeterminism in the model or limitations on system observability, approximate Bayesi...
| 主要な著者: | , , , |
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| フォーマット: | Journal article |
| 出版事項: |
Royal Society
2017
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