IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v40y2013i4p752-769.html
   My bibliography  Save this article

Optimal detection of a jump in the intensity of a Poisson process or in a density with likelihood ratio statistics

Author

Listed:
  • Camilo Rivera
  • Guenther Walther

Abstract

No abstract is available for this item.

Suggested Citation

  • Camilo Rivera & Guenther Walther, 2013. "Optimal detection of a jump in the intensity of a Poisson process or in a density with likelihood ratio statistics," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 752-769, December.
    • Handle: RePEc:bla:scjsta:v:40:y:2013:i:4:p:752-769
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/sjos.12027
    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. Neill, Daniel B., 2009. "Expectation-based scan statistics for monitoring spatial time series data," International Journal of Forecasting, Elsevier, vol. 25(3), pages 498-517, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S Kovács & P Bühlmann & H Li & A Munk, 2023. "Seeded binary segmentation: a general methodology for fast and optimal changepoint detection," Biometrika, Biometrika Trust, vol. 110(1), pages 249-256.
    2. Florian Pein & Hannes Sieling & Axel Munk, 2017. "Heterogeneous change point inference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(4), pages 1207-1227, September.
    3. Guenther Walther & Andrew Perry, 2022. "Calibrating the scan statistic: Finite sample performance versus asymptotics," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1608-1639, November.

    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. de Lima, Max Sousa & Duczmal, Luiz Henrique, 2014. "Adaptive likelihood ratio approaches for the detection of space–time disease clusters," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 352-370.
    2. Shino Shiode & Narushige Shiode, 2022. "Network-Based Space-Time Scan Statistics for Detecting Micro-Scale Hotspots," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    3. Fitzpatrick, Dylan & Ni, Yun & Neill, Daniel B., 2021. "Support vector subset scan for spatial pattern detection," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).

    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:40:y:2013:i:4:p:752-769. 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.