IDEAS home Printed from https://ideas.repec.org/a/eee/ecosta/v29y2024icp238-251.html
   My bibliography  Save this article

An extended Babai method for estimating linear model based integer parameters

Author

Listed:
  • Chang, Xiao-Wen
  • Chen, Zhilong
  • Wen, Jinming

Abstract

Estimating the integer parameter vector in a linear model with additive Gaussian noise is considered. First, Babai’s nearest plane method is extended to a more general estimation method in order to give a better estimator, and its computational cost is analyzed. Then, lower and upper bounds on the success probability of the extended Babai estimator are derived. Based on this theory, a specific (K,L) extended Babai estimation method is proposed, where K and L are two parameters. Numerical results confirm the theoretical findings and show the advantages of the (K,L) extended Babai method over an existing one.

Suggested Citation

  • Chang, Xiao-Wen & Chen, Zhilong & Wen, Jinming, 2024. "An extended Babai method for estimating linear model based integer parameters," Econometrics and Statistics, Elsevier, vol. 29(C), pages 238-251.
    • Handle: RePEc:eee:ecosta:v:29:y:2024:i:c:p:238-251
    DOI: 10.1016/j.ecosta.2022.01.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2452306222000089
    Download Restriction: Full text for ScienceDirect subscribers only. Contains open access articles
    File URL: https://libkey.io/10.1016/j.ecosta.2022.01.008?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.

    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:ecosta:v:29:y:2024:i:c:p:238-251. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/econometrics-and-statistics .

    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.