Regenerative Compositions in the Case of Slow Variation
Andrew D. Barbour, Alexander V. Gnedin

TL;DR
This paper investigates the asymptotic behavior of the number of gaps hit by a Poisson process in the range of a subordinator with slowly varying Lévy measure tail, extending previous studies.
Contribution
It extends prior work by analyzing fluctuations of the process counting hit gaps for subordinators with slowly varying Lévy measure tails.
Findings
Asymptotic fluctuation results for the process ${\\cal K}_n$ as $n\to\infty$
Generalization of previous models to slowly varying Lévy measures
Broad spectrum of situations analyzed
Abstract
For a subordinator and an independent Poisson process of intensity we are interested in the number of gaps in the range of that are hit by at least one point of . Extending previous studies in \cite{Bernoulli, GPYI, GPYII} we focus on the case when the tail of the L{\'e}vy measure of is slowly varying. We view as the terminal value of a random process , and provide an asymptotic analysis of the fluctuations of , as , for a wide spectrum of situations.
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 · Bayesian Methods and Mixture Models · Mathematical Dynamics and Fractals
