Non trivial limit distributions for transient renewal chains
Dalia Terhesiu

TL;DR
This paper investigates the long-term behavior of renewal sequences linked to specific transient renewal Markov chains, focusing on the existence of limit laws in this context.
Contribution
It introduces new results on the asymptotic behavior and limit distributions for renewal sequences in transient Markov chain settings.
Findings
Established conditions for the existence of limit laws
Derived explicit asymptotic formulas
Identified classes of chains with non-trivial limit distributions
Abstract
In this work we study the asymptotic of renewal sequences associated with certain transient renewal Markov chains and enquire about the existence of limit laws in this set up.
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
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods
