IDEAS home Printed from https://ideas.repec.org/a/spr/jotpro/v33y2020i1d10.1007_s10959-018-0850-0.html
   My bibliography  Save this article

Persistence of One-Dimensional AR(1)-Sequences

Author

Listed:
  • Günter Hinrichs

    (Universität Augsburg)

  • Martin Kolb

    (Universität Paderborn)

  • Vitali Wachtel

    (Universität Augsburg)

Abstract

For a class of one-dimensional autoregressive sequences $$(X_n)$$(Xn), we consider the tail behaviour of the stopping time $$T_0=\min \lbrace n\ge 1: X_n\le 0 \rbrace $$T0=min{n≥1:Xn≤0}. We discuss existing general analytical approaches to this and related problems and propose a new one, which is based on a renewal-type decomposition for the moment generating function of $$T_0$$T0 and on the analytical Fredholm alternative. Using this method, we show that $$\mathbb {P}_x(T_0=n)\sim V(x)R_0^n$$Px(T0=n)∼V(x)R0n for some $$0

Suggested Citation

  • Günter Hinrichs & Martin Kolb & Vitali Wachtel, 2020. "Persistence of One-Dimensional AR(1)-Sequences," Journal of Theoretical Probability, Springer, vol. 33(1), pages 65-102, March.
  • Handle: RePEc:spr:jotpro:v:33:y:2020:i:1:d:10.1007_s10959-018-0850-0
    DOI: 10.1007/s10959-018-0850-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10959-018-0850-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10959-018-0850-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Castro, Matheus M. & Lamb, Jeroen S.W. & Olicón-Méndez, Guillermo & Rasmussen, Martin, 2024. "Existence and uniqueness of quasi-stationary and quasi-ergodic measures for absorbing Markov chains: A Banach lattice approach," Stochastic Processes and their Applications, Elsevier, vol. 173(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jotpro:v:33:y:2020:i:1:d:10.1007_s10959-018-0850-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.