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An automatic adaptive method to combine summary statistics in approximate Bayesian computation
To infer the parameters of mechanistic models with intractable likelihoods, techniques such as approximate Bayesian computation (ABC) are increasingly being adopted. One of the main disadvantages of ABC in practical situations, however, is that parameter inference must generally rely on summary stat...
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| Veröffentlicht in: | PLoS One |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7410215/ https://ncbi.nlm.nih.gov/pubmed/32760106 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0236954 |
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