IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v130y2020i3p1735-1791.html
   My bibliography  Save this article

Spectral representations of quasi-infinitely divisible processes

Author

Listed:
  • Passeggeri, Riccardo

Abstract

This work is divided in three parts. First, we introduce quasi-infinitely divisible (QID) random measures and formulate spectral representations. Second, we introduce QID stochastic integrals and present integrability conditions, continuity properties and spectral representations. Finally, we introduce QID processes, i.e. stochastic processes with QID finite dimensional distributions. For example, a process X is QID if there exist two ID processes Y and Z such that X+Y=dZ with Y independent of X. The class of QID processes is strictly larger than the class of ID processes. We provide spectral representations and Lévy–Khintchine formulations for potentially all QID processes. Many examples are presented.

Suggested Citation

  • Passeggeri, Riccardo, 2020. "Spectral representations of quasi-infinitely divisible processes," Stochastic Processes and their Applications, Elsevier, vol. 130(3), pages 1735-1791.
  • Handle: RePEc:eee:spapps:v:130:y:2020:i:3:p:1735-1791
    DOI: 10.1016/j.spa.2019.05.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030441491830629X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2019.05.014?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.

    References listed on IDEAS

    as
    1. Horn, Roger A. & Steutel, F. W., 1978. "On multivariate infinitely divisible distributions," Stochastic Processes and their Applications, Elsevier, vol. 6(2), pages 139-151, January.
    2. Horowitz, Joseph, 1986. "Gaussian random measures," Stochastic Processes and their Applications, Elsevier, vol. 22(1), pages 129-133, May.
    3. David Berger, 2019. "On quasi‐infinitely divisible distributions with a point mass," Mathematische Nachrichten, Wiley Blackwell, vol. 292(8), pages 1674-1684, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Domínguez-Molina, J. Armando & Rocha-Arteaga, Alfonso, 2007. "On the infinite divisibility of some skewed symmetric distributions," Statistics & Probability Letters, Elsevier, vol. 77(6), pages 644-648, March.
    2. Denuit, Michel & Robert, Christian Y., 2020. "Conditional tail expectation decomposition and conditional mean risk sharing for dependent and conditionally independent risks," LIDAM Discussion Papers ISBA 2020018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Victor Korolev, 2020. "Some Properties of Univariate and Multivariate Exponential Power Distributions and Related Topics," Mathematics, MDPI, vol. 8(11), pages 1-27, November.
    4. Khartov, A.A., 2022. "A criterion of quasi-infinite divisibility for discrete laws," Statistics & Probability Letters, Elsevier, vol. 185(C).
    5. Sundt, Bjorn, 2000. "The multivariate De Pril transform," Insurance: Mathematics and Economics, Elsevier, vol. 27(1), pages 123-136, August.
    6. Vexler, Albert, 2020. "Univariate likelihood projections and characterizations of the multivariate normal distribution," Journal of Multivariate Analysis, Elsevier, vol. 179(C).
    7. Michel Denuit & Christian Y. Robert, 2022. "Conditional Tail Expectation Decomposition and Conditional Mean Risk Sharing for Dependent and Conditionally Independent Losses," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1953-1985, September.

    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:eee:spapps:v:130:y:2020:i:3:p:1735-1791. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    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.