Recurrent random walks on $\mathbb{Z}$ with infinite variance: transition probabilities of them killed on a finite set
Kohei Uchiyama

TL;DR
This paper analyzes the asymptotic behavior of transition probabilities and hitting times for irreducible random walks on integers with infinite variance, specifically those attracted to stable processes with index between 1 and 2, when killed on a finite set.
Contribution
It provides the first detailed asymptotic descriptions of transition probabilities and hitting times for such random walks in the domain of attraction of stable processes with infinite variance.
Findings
Asymptotic form of hitting time distribution derived
Transition probabilities for killed walks characterized asymptotically
Results valid uniformly over natural space and time domains
Abstract
In this paper we consider an irreducible random walk on the integer lattice that is in the domain of normal attraction of a strictly stable process with index and obtain the asymptotic form of the distribution of the hitting time of the origin and that of the transition probability for the walk killed when it hits a finite set. The asymptotic forms obtained are valid uniformly in the natural domain of the space and time variables.
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 · Probability and Risk Models · Bayesian Methods and Mixture Models
