IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v44y2017i1p81-96.html
   My bibliography  Save this article

Collapsing of Non-centred Parameterized MCMC Algorithms with Applications to Epidemic Models

Author

Listed:
  • Peter Neal
  • Fei Xiang

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Neal & Fei Xiang, 2017. "Collapsing of Non-centred Parameterized MCMC Algorithms with Applications to Epidemic Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(1), pages 81-96, March.
  • Handle: RePEc:bla:scjsta:v:44:y:2017:i:1:p:81-96
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/sjos.12242
    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.

    References listed on IDEAS

    as
    1. Peter Neal & Chien Lin Terry Huang, 2015. "Forward Simulation Markov Chain Monte Carlo with Applications to Stochastic Epidemic Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 378-396, June.
    2. Xiang, Fei & Neal, Peter, 2014. "Efficient MCMC for temporal epidemics via parameter reduction," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 240-250.
    3. Patrick E. Brown & Florencia Chimard & Alexander Remorov & Jeffrey S. Rosenthal & Xin Wang, 2014. "Statistical inference and computational efficiency for spatial infectious disease models with plantation data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(3), pages 467-482, 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.

      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:bla:scjsta:v:44:y:2017:i:1:p:81-96. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0303-6898 .

      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.