IDEAS home Printed from https://ideas.repec.org/a/ibn/ijspjl/v14y2025i3p73.html
   My bibliography  Save this article

Density Estimation by Wavelet Thresholding From Observations of Almost Periodically Correlated Processes under Weak Dependence

Author

Listed:
  • Moussa Koné
  • Vincent Monsan
  • Sylvestre Placide Ekra

Abstract

In this article, we construct an adaptive wavelet thresholding estimator for the density in a finite mixture model. Our sample is drawn from an almost periodically correlated process under a weak dependence assumption. We assess the asymptotic performance of our estimator by establishing an upper bound for the integrated mean squared error over a Besov ball.

Suggested Citation

  • Moussa Koné & Vincent Monsan & Sylvestre Placide Ekra, 2025. "Density Estimation by Wavelet Thresholding From Observations of Almost Periodically Correlated Processes under Weak Dependence," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 14(3), pages 1-73, October.
    • Handle: RePEc:ibn:ijspjl:v:14:y:2025:i:3:p:73
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijsp/article/download/0/0/52133/56763
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ijsp/article/view/0/52133
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:ijspjl:v:14:y:2025:i:3:p:73. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.