  We propose an uncertainty propagation study and a sensitivity analysis with
the Ocular Mathematical Virtual Simulator, a computational and mathematical
model that predicts the hemodynamics and biomechanics within the human eye. In
this contribution, we focus on the effect of intraocular pressure, retrolaminar
tissue pressure and systemic blood pressure on the ocular posterior tissue
vasculature. The combination of a physically-based model with experiments-based
stochastic input allows us to gain a better understanding of the physiological
system, accounting both for the driving mechanisms and the data variability.
