IDEAS home Printed from https://ideas.repec.org/a/spr/sistpr/v3y2000i3p277-288.html
   My bibliography  Save this article

Semiparametric Estimation of the State of a Dynamical System with Small Noise

Author

Listed:
  • Stefano Iacus

Abstract

No abstract is available for this item.

Suggested Citation

  • Stefano Iacus, 2000. "Semiparametric Estimation of the State of a Dynamical System with Small Noise," Statistical Inference for Stochastic Processes, Springer, vol. 3(3), pages 277-288, October.
  • Handle: RePEc:spr:sistpr:v:3:y:2000:i:3:p:277-288
    DOI: 10.1023/A:1009929415011
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1009929415011
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1009929415011?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. Stefano Iacus, 1999. "Efficient Estimation of Dynamical systems," Departmental Working Papers 1999-03, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Stefano Iacus, 1997. "Semiparametric estimation of a functional of the drift coefficient of a dynamical system with small noise," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(2), pages 161-176, August.
    3. Stefano Iacus & Yu. A. Kutoyants, 2000. "Semiparametric hypotheses testing for dynamical system with small noise," Departmental Working Papers 2000-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    4. Yusuke Kaino & Masayuki Uchida, 2018. "Hybrid estimators for small diffusion processes based on reduced data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(7), pages 745-773, October.

    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:sistpr:v:3:y:2000:i:3:p:277-288. 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.