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Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation
Calibrating model parameters on heterogeneous data can be challenging and inefficient. This holds especially for likelihood-free methods such as approximate Bayesian computation (ABC), which rely on the comparison of relevant features in simulated and observed data and are popular for otherwise intr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202307/ https://www.ncbi.nlm.nih.gov/pubmed/37216372 http://dx.doi.org/10.1371/journal.pone.0285836 |