Stochastic dynamics of Francisella tularensis infection and replication
Fig 11
Posterior histograms for β and δ.
From the posterior sample, the histogram for β (left) shows the significant learning that has been achieved making use of the experimental data. When comparing to bacterial counts, only an upper bound for δ can be identified (centre). However, this distribution can be refined when also considering model predictions for the mean time until rupture (right).