IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v29y2002i1-4p329-351.html
   My bibliography  Save this article

Random effects and shrinkage estimation in capture-recapture models

Author

Listed:
  • J. Andrew Royle
  • William Link

Abstract

We discuss the analysis of random effects in capture-recapture models, and outline Bayesian and frequentists approaches to their analysis. Under a normal model, random effects estimators derived from Bayesian or frequentist considerations have a common form as shrinkage estimators. We discuss some of the difficulties of analysing random effects using traditional methods, and argue that a Bayesian formulation provides a rigorous framework for dealing with these difficulties. In capture-recapture models, random effects may provide a parsimonious compromise between constant and completely time-dependent models for the parameters (e.g. survival probability). We consider application of random effects to band-recovery models, although the principles apply to more general situations, such as Cormack-Jolly-Seber models. We illustrate these ideas using a commonly analysed band recovery data set.

Suggested Citation

  • J. Andrew Royle & William Link, 2002. "Random effects and shrinkage estimation in capture-recapture models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 329-351.
    • Handle: RePEc:taf:japsta:v:29:y:2002:i:1-4:p:329-351
    DOI: 10.1080/02664760120108746
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760120108746
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664760120108746?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. V. Chavez-Demoulin, 1999. "Bayesian Inference for Small-Sample Capture-Recapture Data," Biometrics, The International Biometric Society, vol. 55(3), pages 727-731, September.
    2. S. P. Brooks & E. A. Catchpole & B. J. T. Morgan & S. C. Barry, 2000. "On the Bayesian Analysis of Ring-Recovery Data," Biometrics, The International Biometric Society, vol. 56(3), pages 951-956, September.
    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. C. Barry & S. P. Brooks & E. A. Catchpole & B. J. T. Morgan, 2003. "The Analysis of Ring-Recovery Data Using Random Effects," Biometrics, The International Biometric Society, vol. 59(1), pages 54-65, 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. Carl James Schwarz, 2002. "Real and quasi-experiments in capture-recapture studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 459-473.
    2. S. P. Brooks & E. A. Catchpole & B. J. T. Morgan & M. P. Harris, 2002. "Bayesian methods for analysing ringing data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 187-206.
    3. George Seber & Carl Schwarz, 2002. "Capture-recapture: Before and after EURING 2000," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 5-18.
    4. R. King & S. P. Brooks, 2002. "Model Selection for Integrated Recovery/Recapture Data," Biometrics, The International Biometric Society, vol. 58(4), pages 841-851, December.
    5. Devin S. Johnson & Jennifer A. Hoeting, 2003. "Autoregressive Models for Capture-Recapture Data: A Bayesian Approach," Biometrics, The International Biometric Society, vol. 59(2), pages 341-350, June.
    6. S. C. Barry & S. P. Brooks & E. A. Catchpole & B. J. T. Morgan, 2003. "The Analysis of Ring-Recovery Data Using Random Effects," Biometrics, The International Biometric Society, vol. 59(1), pages 54-65, March.
    7. J. A. Dupuis, 2002. "Prior distributions for stratified capture-recapture models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 225-237.
    8. William A. Link & Richard J. Barker, 2005. "Modeling Association among Demographic Parameters in Analysis of Open Population Capture–Recapture Data," Biometrics, The International Biometric Society, vol. 61(1), pages 46-54, March.
    9. Riki Herliansyah & Ruth King & Stuart King, 2022. "Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 401-418, September.
    10. O. Gimenez & C. Crainiceanu & C. Barbraud & S. Jenouvrier & B. J. T. Morgan, 2006. "Semiparametric Regression in Capture–Recapture Modeling," Biometrics, The International Biometric Society, vol. 62(3), pages 691-698, September.
    11. J. D. Lebreton & R. Choquet & O. Gimenez, 2012. "Simple Estimation and Test Procedures in Capture–Mark–Recapture Mixed Models," Biometrics, The International Biometric Society, vol. 68(2), pages 494-503, June.
    12. Nathan J Hostetter & Nicholas J Lunn & Evan S Richardson & Eric V Regehr & Sarah J Converse, 2021. "Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
    13. Ruth King & Stephen P. Brooks & Chiara Mazzetta & Stephen N. Freeman & Byron J. T. Morgan, 2008. "Identifying and diagnosing population declines: a Bayesian assessment of lapwings in the UK," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(5), pages 609-632, December.

    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:taf:japsta:v:29:y:2002:i:1-4:p:329-351. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.