IDEAS home Printed from https://ideas.repec.org/a/spr/testjl/v15y2006i2p423-432.html
   My bibliography  Save this article

A bayesian choice between poisson, binomial and negative binomial models

Author

Listed:
  • Jean-Yves Dauxois
  • Pierre Druilhet
  • Denys Pommeret

Abstract

No abstract is available for this item.

Suggested Citation

  • Jean-Yves Dauxois & Pierre Druilhet & Denys Pommeret, 2006. "A bayesian choice between poisson, binomial and negative binomial models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 423-432, September.
  • Handle: RePEc:spr:testjl:v:15:y:2006:i:2:p:423-432
    DOI: 10.1007/BF02607060
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02607060
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02607060?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. P. J. Lenk, 1999. "Bayesian inference for semiparametric regression using a Fourier representation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(4), pages 863-879.
    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. Elías Moreno & Carmen Martínez & Francisco–José Vázquez–Polo, 2021. "Objective Bayesian model choice for non-nested families: the case of the Poisson and the negative binomial," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 255-273, March.

    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. Seongil Jo & Taeyoung Roh & Taeryon Choi, 2016. "Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(1), pages 177-206, March.
    2. Hongchang Hu & Yu Zhang & Xiong Pan, 2016. "Asymptotic normality of DHD estimators in a partially linear model," Statistical Papers, Springer, vol. 57(3), pages 567-587, September.
    3. Garnett P. McMillan & Timothy E. Hanson & Gabrielle Saunders & Frederick J. Gallun, 2013. "A two-component circular regression model for repeated measures auditory localization data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 515-534, August.
    4. Choi, Taeryon & Lee, Jaeyong & Roy, Anindya, 2009. "A note on the Bayes factor in a semiparametric regression model," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1316-1327, July.
    5. Lee, Jaeyong & Oh, Hee-Seok, 2013. "Bayesian regression based on principal components for high-dimensional data," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 175-192.
    6. Paciorek, Christopher J., 2007. "Computational techniques for spatial logistic regression with large data sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3631-3653, May.
    7. Timothy J. Gilbride & Peter J. Lenk & Jeff D. Brazell, 2008. "Market Share Constraints and the Loss Function in Choice-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 27(6), pages 995-1011, 11-12.

    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:testjl:v:15:y:2006:i:2:p:423-432. 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.