IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v104i488y2009p1504-1511.html
   My bibliography  Save this article

Sequential Implementation of Monte Carlo Tests With Uniformly Bounded Resampling Risk

Author

Listed:
  • Gandy, Axel

Abstract

No abstract is available for this item.

Suggested Citation

  • Gandy, Axel, 2009. "Sequential Implementation of Monte Carlo Tests With Uniformly Bounded Resampling Risk," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1504-1511.
    • Handle: RePEc:bes:jnlasa:v:104:i:488:y:2009:p:1504-1511
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2009.tm08368
    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. Nicolai Meinshausen & Peter Bühlmann, 2010. "Stability selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 417-473, September.
    2. Hahn, Georg, 2020. "On the expected runtime of multiple testing algorithms with bounded error," Statistics & Probability Letters, Elsevier, vol. 165(C).
    3. Dong Ding & Axel Gandy & Georg Hahn, 2020. "A simple method for implementing Monte Carlo tests," Computational Statistics, Springer, vol. 35(3), pages 1373-1392, September.
    4. Silva, Ivair R. & Assunção, Renato M., 2013. "Optimal generalized truncated sequential Monte Carlo test," Journal of Multivariate Analysis, Elsevier, vol. 121(C), pages 33-49.
    5. James, Nicholas A. & Matteson, David S., 2015. "ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i07).
    6. Axel Gandy & Georg Hahn, 2014. "MMCTest—A Safe Algorithm for Implementing Multiple Monte Carlo Tests," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 1083-1101, December.
    7. Axel Gandy & Georg Hahn & Dong Ding, 2020. "Implementing Monte Carlo tests with p‐value buckets," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 950-967, September.

    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:jnlasa:v:104:i:488:y:2009:p:1504-1511. 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/jasa/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.