IDEAS home Printed from https://ideas.repec.org/a/bes/amstat/v64i2y2010p154-158.html
   My bibliography  Save this article

Improper Priors Are Not Improper

Author

Listed:
  • Taraldsen, Gunnar
  • Lindqvist, Bo Henry

Abstract

No abstract is available for this item.

Suggested Citation

  • Taraldsen, Gunnar & Lindqvist, Bo Henry, 2010. "Improper Priors Are Not Improper," The American Statistician, American Statistical Association, vol. 64(2), pages 154-158.
    • Handle: RePEc:bes:amstat:v:64:i:2:y:2010:p:154-158
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/tast.2010.09116
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Yiyi Wang & Kara Kockelman & Paul Damien, 2014. "A spatial autoregressive multinomial probit model for anticipating land-use change in Austin, Texas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 251-278, January.
    2. Michael L. Lavine & James S. Hodges, 2012. "On Rigorous Specification of ICAR Models," The American Statistician, Taylor & Francis Journals, vol. 66(1), pages 42-49, February.
    3. Pierre Druilhet & Erwan Saint Loubert Bié, 2021. "Improper versus finitely additive distributions as limits of countably additive probabilities," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(6), pages 1187-1202, December.
    4. Gunnar Taraldsen & Jarle Tufto & Bo H. Lindqvist, 2022. "Improper priors and improper posteriors," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 969-991, September.
    5. Ick Hoon Jin & Minjeong Jeon & Michael Schweinberger & Jonghyun Yun & Lizhen Lin, 2022. "Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1225-1244, November.

    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:bes:amstat:v:64:i:2:y:2010:p:154-158. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/tas/index.cfm?fuseaction=main .

    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.