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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