IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/2002-43.html
   My bibliography  Save this paper

Sharp Large Deviations in Nonparametric Estimation

Author

Listed:
  • Cyrille Joutard

    (Crest)

Abstract

No abstract is available for this item.

Suggested Citation

  • Cyrille Joutard, 2002. "Sharp Large Deviations in Nonparametric Estimation," Working Papers 2002-43, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2002-43
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/2002-43.pdf
    File Function: Crest working paper version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Djamal Louani, 1998. "Large Deviations Limit Theorems for the Kernel Density Estimator," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 25(1), pages 243-253, March.
    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. Osmoukhina, Anna V., 2001. "Large deviations probabilities for a test of symmetry based on kernel density estimator," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 363-371, October.
    2. Cyrille Joutard, 2013. "Strong large deviations for arbitrary sequences of random variables," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 49-67, February.
    3. Gao, Fuqing, 2008. "Moderate deviations and law of the iterated logarithm in for kernel density estimators," Stochastic Processes and their Applications, Elsevier, vol. 118(3), pages 452-473, March.
    4. Diallo, Amadou Oury Korbe & Louani, Djamal, 2013. "Moderate and large deviation principles for the hazard rate function kernel estimator under censoring," Statistics & Probability Letters, Elsevier, vol. 83(3), pages 735-743.
    5. Djamal Louani & Sidi Mohamed Ould Maouloud, 2012. "Some Functional Large Deviations Principles in Nonparametric Function Estimation," Journal of Theoretical Probability, Springer, vol. 25(1), pages 280-309, March.
    6. Djamal Louani, 2005. "UniformL 1 -distance large deviations in nonparametric density estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 75-98, June.
    7. Korostelev Alexander, 2003. "The Bahadur risk in probability density estimation," Statistics & Risk Modeling, De Gruyter, vol. 21(2), pages 139-148, February.
    8. Pablo Martínez-Camblor & Jacobo Uña-Álvarez, 2013. "Studying the bandwidth in $$k$$ -sample smooth tests," Computational Statistics, Springer, vol. 28(2), pages 875-892, April.
    9. Kakizawa, Yoshihide, 2007. "Moderate deviations for quadratic forms in Gaussian stationary processes," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 992-1017, May.
    10. Bitseki Penda, S. Valère & Olivier, Adélaïde, 2018. "Moderate deviation principle in nonlinear bifurcating autoregressive models," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 20-26.
    11. Fuqing Gao, 2003. "Moderate Deviations and Large Deviations for Kernel Density Estimators," Journal of Theoretical Probability, Springer, vol. 16(2), pages 401-418, April.
    12. Song, Weixing, 2010. "Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 169-176, February.

    More about this item

    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:crs:wpaper:2002-43. 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: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.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.