Large deviation principles for renewal-reward processes
Marco Zamparo

TL;DR
This paper proves a precise large deviation principle for renewal-reward processes in Banach spaces, even without exponential moment assumptions, and provides conditions for exponential tightness to establish a full principle.
Contribution
It introduces a sharp large deviation principle for renewal-reward processes in Banach spaces without requiring exponential moment conditions, extending existing results.
Findings
Established a weak large deviation principle without exponential moment assumptions.
Provided sufficient conditions for exponential tightness of renewal-reward processes.
Demonstrated a full large deviation principle under these conditions.
Abstract
We establish a sharp large deviation principle for renewal-reward processes, supposing that each renewal involves a broad-sense reward taking values in a real separable Banach space. In fact, we demonstrate a weak large deviation principle without assuming any exponential moment condition on the law of waiting times and rewards by resorting to a sharp version of Cram\'er's theorem. We also exhibit sufficient conditions for exponential tightness of renewal-reward processes, which leads to a full large deviation principle.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEconomic theories and models · Economic Policies and Impacts · Stochastic processes and financial applications
