IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v51y2010i1p179-191.html
   My bibliography  Save this article

The equivalence of Bayes and robust Bayes estimators for various loss functions

Author

Listed:
  • Agnieszka Kamińska

Abstract

No abstract is available for this item.

Suggested Citation

  • Agnieszka Kamińska, 2010. "The equivalence of Bayes and robust Bayes estimators for various loss functions," Statistical Papers, Springer, vol. 51(1), pages 179-191, January.
    • Handle: RePEc:spr:stpapr:v:51:y:2010:i:1:p:179-191
    DOI: 10.1007/s00362-008-0130-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-008-0130-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-008-0130-7?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. DasGupta A. & Studden W. J., 1989. "Frequentist Behavior Of Robust Bayes Estimates Of Normal Means," Statistics & Risk Modeling, De Gruyter, vol. 7(4), pages 333-362, April.
    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. Boratynska, Agata, 1997. "Stability of Bayesian inference in exponential families," Statistics & Probability Letters, Elsevier, vol. 36(2), pages 173-178, December.
    2. James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.
    3. Kiapour, A. & Nematollahi, N., 2011. "Robust Bayesian prediction and estimation under a squared log error loss function," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1717-1724, November.
    4. David Bickel, 2015. "Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 523-546, November.

    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:stpapr:v:51:y:2010:i:1:p:179-191. 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: 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.