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POPE: post optimization posterior evaluation of likelihood free models
BACKGROUND: In many domains, scientists build complex simulators of natural phenomena that encode their hypotheses about the underlying processes. These simulators can be deterministic or stochastic, fast or slow, constrained or unconstrained, and so on. Optimizing the simulators with respect to a s...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4545973/ https://ncbi.nlm.nih.gov/pubmed/26289041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0658-1 |
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