Exact and asymptotic $n$-tuple laws at first and last passage
A. Kyprianou, J.C. Pardo, V. Rivero

TL;DR
This paper develops new joint laws called n-tuple laws for Lévy processes and related processes at first and last passage times, providing explicit identities and asymptotic distributions relevant to various applied probability models.
Contribution
It introduces a family of n-tuple laws for Lévy and positive self-similar Markov processes at passage times, extending previous results and deriving explicit identities for Lamperti-stable and hypergeometric Lévy processes.
Findings
Established n-tuple laws for Lévy processes and conditioned processes.
Derived explicit first and last passage identities for Lamperti-stable Lévy processes.
Connected asymptotic overshoot and undershoot distributions to self-similar Markov processes.
Abstract
Understanding the space-time features of how a L\'evy process crosses a constant barrier for the first time, and indeed the last time, is a problem which is central to many models in applied probability such as queueing theory, financial and actuarial mathematics, optimal stopping problems, the theory of branching processes to name but a few. In \cite{KD} a new quintuple law was established for a general L\'evy process at first passage below a fixed level. In this article we use the quintuple law to establish a family of related joint laws, which we call -tuple laws, for L\'evy processes, L\'evy processes conditioned to stay positive and positive self-similar Markov processes at both first and last passage over a fixed level. Here the integer typically ranges from three to seven. Moreover, we look at asymptotic overshoot and undershoot distributions and relate them to overshoot…
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Probability and Risk Models · Statistical Distribution Estimation and Applications
