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Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators
BACKGROUND: Approximate Bayesian Computation (ABC) has become a key tool for calibrating the parameters of discrete stochastic biochemical models. For higher dimensional models and data, its performance is strongly dependent on having a representative set of summary statistics. While regression-base...
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8220802/ https://ncbi.nlm.nih.gov/pubmed/34162329 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04255-9 |
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