A Bayesian Monte Carlo approach for predicting the spread of infectious diseases
| Autor(en): | Stojanović, Olivera Leugering, Johannes Pipa, Gordon Ghozzi, Stéphane Ullrich, Alexander |
Stichwörter: | Computer science; Monte Carlo method; Posterior probability; Markov chain Monte Carlo; Estimation; Approximate Bayesian computation; Bayesian probability; Bayes' theorem; Inference; Bayesian inference; Econometrics; Statistics | Erscheinungsdatum: | 2019 | Herausgeber: | Cold Spring Harbor Laboratory | Journal: | bioRxiv | Startseite: | 617795 | DOI: | https://doi.org/10.1101/617795 | Rechte: | cc-by |
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geprüft am 29.04.2024
