Missing data in amortized simulation-based neural posterior estimation
Fig 6
Results for the SIR ODE model.
Top: Posterior distributions. Bottom: Posterior predictive checks displaying the means of noise-corrupted simulations and their centered 90% credible intervals. Three data sets at ground truth parameters [−0.8, −1.4] (Data set 1, left, n⌀ = 15), [−1.0, −1.7] (Data set 2, middle, n⌀ = 10) and [−0.5, −1.3] (Data set 3, right, n⌀ = 5) are shown.