Uncertainty importance measures of dependent transition rates for transient and steady state probabilities

Markov models are widely used for describing the behavior of multi-state systems, whose transition rates can be approximated through Bayesian inference based on data from field collections and experiments. The estimates of transition rates departing from the same state can be dependent. In this paper, we investigate the influence of uncertainties associated with the transition rates due to the finiteness of the available data, upon the transient...