Moments' Analysis in Homogeneous Markov Reward Models
Résumé
We analyze the moments of the accumulated reward over the interval (0,t) in a continuous-time Markov chain. We develop a numerical procedure to compute efficiently the normalized moments using the uniformization technique. Our algorithm involves auxiliary quantities whose convergence is analyzed, and for which we provide a probabilistic interpretation