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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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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2015
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| Matèries: | |
| Accés en línia: | 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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