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ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison
We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free model comparison and parameter estimation. Our new open-source software called ABrox is used to illustrate ABC for model comparison on two pro...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5843277/ https://ncbi.nlm.nih.gov/pubmed/29518130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0193981 |
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