Back to search

Article

Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death models

2017-11-07

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. Here we show that the identif...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9e0b0667-e284-5193-b35a-fc2ee93c5ef5
DOI
10.1101/215533
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death modelsDOI 10.1101/215533
Select a neighboring publication to make it the new centre.