Mariani, Mauro; Zambotti, Lorenzo Large deviations for the empirical measure of heavy-tailed Markov renewal processes. (English) Zbl 1351.60031 Adv. Appl. Probab. 48, No. 3, 648-671 (2016). Summary: A large deviations principle is established for the joint law of the empirical measure and the flow measure of a Markov renewal process on a finite graph. We do not assume any bound on the arrival times, allowing heavy-tailed distributions. In particular, the rate function is in general degenerate (it has a nontrivial set of zeros) and not strictly convex. These features show a behaviour highly different from what one may guess with a heuristic Donsker-Varadhan analysis of the problem. Cited in 1 ReviewCited in 5 Documents MSC: 60F10 Large deviations 60K15 Markov renewal processes, semi-Markov processes Keywords:large deviations; empirical measure; Markov renewal process; heavy tails × Cite Format Result Cite Review PDF Full Text: DOI arXiv Euclid Link