Asymptotics of the order statistics for a process with a regenerative structure
Natalia Soja-Kukie{\l}a

TL;DR
This paper investigates the asymptotic behavior of the order statistics, specifically the q-th largest values, in a regenerative process with finite mean cycle length, providing convergence results and illustrative examples.
Contribution
It establishes the asymptotic distribution of order statistics for regenerative processes, extending extreme value theory to this class of stochastic processes.
Findings
Convergence of the distribution of the q-th largest value to a specified limit
Explicit formulas for the limit distribution involving cycle maxima
Illustrative examples demonstrating the theoretical results
Abstract
In the paper, a regenerative process with finite mean cycle length is considered. For~ denoting the -th largest value in , we prove that \begin{equation*} \sup_{x\in\mathbb{R}} \left|P\left(M^{(q)}_n\leqslant x\right) - G(x)^n \sum_{k=0}^{q-1}\frac{\left(-\log G(x)^n\right)^k}{k!}\gamma_{q,k}(x)\right| \to 0,\quad \text{as} \quad n\to\infty, \end{equation*} for and expressed in terms of maxima over the cycle. The result is illustrated with examples.
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.
