Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death models
Jarno Lintusaari, Paul Blomstedt, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski A, Jukka Corander
This paper uses Approximate Bayesian Computation to improve parameter estimation in stochastic birth-death models for disease outbreaks, showing better identifiability of key parameters like R and infectious population size.
Wellcome Open Research · Jan 25, 2019Peer-reviewedBioinformatics