Large deviations for renewal processes
Raphael Lefevere, Mauro Mariani, Lorenzo Zambotti

TL;DR
This paper studies large deviations in renewal processes, revealing a unique rate functional that differs from classical theories, especially for arbitrary waiting-time distributions.
Contribution
It introduces a novel large deviations rate functional for renewal processes that diverges from Donsker-Varadhan theory, applicable to arbitrary waiting-time distributions.
Findings
The rate functional is non-strictly convex.
The rate functional is non-analytic.
Classical large deviations theory does not apply here.
Abstract
We investigate large deviations for the empirical measure of the forward and backward recurrence time processes associated with a classical renewal process with arbitrary waiting-time distribution. The Donsker-Varadhan theory cannot be applied in this case, and indeed it turns out that the large deviations rate functional differs from the one suggested by such a theory. In particular, a non-strictly convex and non-analytic rate functional is obtained.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Thermodynamics and Statistical Mechanics · Advanced Queuing Theory Analysis
