Before revision:  We further show how the GLCT enables modelers to draw insights from these results by using theory and intuition from continuous time Markov chains (CTMCs) and their absorption time distributions (i.e., the phase-type probability distributions).
After revision:  We further show how the GLCT enables modelers to draw insights from these results by leveraging theory and intuition from continuous time Markov chains (CTMCs) and their absorption time distributions (i.e., the phase-type probability distributions).