Estimation of sub-epidemic dynamics by means of Sequential Monte Carlo Approximate Bayesian Computation: an application to the Swiss HIV Cohort Study
Ibeh Neke, Stéphane Aris-Brosou
This paper applies Sequential Monte Carlo Approximate Bayesian Computation to estimate sub-epidemic dynamics in the Swiss HIV Cohort Study, showing accurate inference of epidemiological parameters and sub-epidemic distinction.
bioRxiv · Nov 7, 2016 · PreprintEvolutionary Biology