Asymptotic bounds on renewal process stopping times
Jesse Geneson

TL;DR
This paper derives asymptotic bounds for the expected stopping times of renewal processes involving transformed uniform random variables, generalizing previous results for the identity function.
Contribution
It extends known results on renewal process stopping times to a broader class involving increasing bijections, providing a general asymptotic formula.
Findings
Derived the asymptotic expression for expected stopping times $N_f(t)$
Introduced the constant $c_f$ to characterize the bounds
Generalized previous results for the case $f(x)=x$
Abstract
Suppose that i.i.d. random variables are chosen uniformly from , and let be an increasing bijection. Define to be the expected value of for each . Define the random variable be to be minimal so that and let be the expected value of . We prove that if , then . This generalizes a result of \'{C}urgus and Jewett (2007) on the case .
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
TopicsProbability and Risk Models · Bayesian Methods and Mixture Models · Statistical Methods and Inference
