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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Detalles Bibliográficos
Autores principales: Jiang, Richard M., Wrede, Fredrik, Singh, Prashant, Hellander, Andreas, Petzold, Linda R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220802/
https://www.ncbi.nlm.nih.gov/pubmed/34162329
http://dx.doi.org/10.1186/s12859-021-04255-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220802/
https://www.ncbi.nlm.nih.gov/pubmed/34162329
http://dx.doi.org/10.1186/s12859-021-04255-9

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