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Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth–death models

2019-08-30

Abstract excerpt

Earlier research has suggested that approximate Bayesian computation (ABC) makes it possible to fit simulator-based intractable birth–death models to investigate communicable disease outbreak dynamics with accuracy comparable to that of exact Bayesian methods. However, recent findings have indicated that key parameters, such as the reproductive number R , may remain poorly identifiable with these models. Here we...

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Literature Corpus work
7fe50be6-492f-5408-96fa-28760caf2780
DOI
10.12688/wellcomeopenres.15048.2
Open publication

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Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth–death modelsDOI 10.12688/wellcomeopenres.15048.2
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