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Approximate Bayesian Computation for Estimating Parameters of Data-Consistent Forbush Decrease Model
Realistic modeling of complex physical phenomena is always quite a challenging task. The main problem usually concerns the uncertainties surrounding model input parameters, especially when not all information about a modeled phenomenon is known. In such cases, Approximate Bayesian Computation (ABC)...
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| Publicado no: | Entropy (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7513155/ https://ncbi.nlm.nih.gov/pubmed/33265711 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20080622 |
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